This document summarizes a study that developed a low-cost electrocardiograph (ECG) machine with adjustable sensitivity and paper speed options. The ECG machine uses an ATmega16 microcontroller and includes a 12-channel ECG amplifier built with instrumentation amplifiers. Testing was conducted on 10 subjects and an ECG phantom to evaluate the machine's performance at different sensitivities (0.5 mV, 1 mV, 2 mV) and paper speeds (25 mm/s, 50 mm/s). Results showed the machine measured heart rates from the phantom within 2% error of the standard values and sensitivity measurements were also within specifications. The developed low-cost ECG machine achieved diagnostic-level performance with adjustable options, addressing
Portable ECG Monitoring System using Lilypad And Mobile Platform-PandaBoardIJSRD
New wireless system for biomedical purposes gives new possibilities for monitoring of essential function in human being. Wearable biomedical sensors will give the patient the freedom to be capable of moving readily and still be under continuously monitoring regularity of heartbeats identify any damage to the heart and devices used to regulate the heart and thereby to better quality of patient care. This paper describes a new concept for wireless and portable electrocardiogram (ECG) sensor transmitting signals to a monitoring station at the remote location within specific range, and this concept is intended for monitoring people with impairments in their cardiac activity. The proposed work helps to overcome this problem. With the advancement in Arduino and mobile technology, it is possible to design a portable ECG device which capture ECG of patient and monitor it on mobile platform. This report goes over low power Arduino, mobile platform Panda board and Zigbee technology to couple ECG over mobile board.
Portable ECG Monitoring System using Lilypad And Mobile Platform-PandaBoardIJSRD
New wireless system for biomedical purposes gives new possibilities for monitoring of essential function in human being. Wearable biomedical sensors will give the patient the freedom to be capable of moving readily and still be under continuously monitoring regularity of heartbeats identify any damage to the heart and devices used to regulate the heart and thereby to better quality of patient care. This paper describes a new concept for wireless and portable electrocardiogram (ECG) sensor transmitting signals to a monitoring station at the remote location within specific range, and this concept is intended for monitoring people with impairments in their cardiac activity. The proposed work helps to overcome this problem. With the advancement in Arduino and mobile technology, it is possible to design a portable ECG device which capture ECG of patient and monitor it on mobile platform. This report goes over low power Arduino, mobile platform Panda board and Zigbee technology to couple ECG over mobile board.
The development of a wireless LCP-based intracranial pressure sensor for trau...IJECEIAES
Raised intracranial pressure (ICP) in traumatic brain injury (TBI) patients can lead to death. ICP measurement is required to monitor the condition of a patient and to inform TBI treatment. This work presents a new wireless liquid crystal polymer (LCP) based ICP sensor. The sensor is designed with the purpose of measuring ICP and wirelessly transmitting the signal to an external monitoring unit. The sensor is minimally invasive and biocompatible due to the mechanical design and the use of LCP. A prototype sensor and associated wireless module are fabricated and tested to demonstrate the functionality and performance of the wireless LCP-based ICP sensor. Experimental results show that the wireless LCP-based ICP sensor can operate in the pressure range of 0 - 60.12 mmHg. Based on repeated measurements, the sensitivity of the sensor is found to be 25.62 µVmmHg-1, with a standard deviation of ± 1.16 µVmmHg-1. This work represents a significant step towards achieving a wireless, implantable, minimally invasive ICP monitoring strategy for TBI patients.
International Journal of Computational Engineering Research(IJCER) ijceronline
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
ECG SIGNAL ACQUISITION, FEATURE EXTRACTION AND HRV ANALYSIS USING BIOMEDICAL ...IAEME Publication
This Paper contains the complete process of ECG/EKG signal Acquisition from
hardware to its analysis using LabVIEW and Biomedical Workbench. Hardware of ECG
has the amplification, filtering and conversion of analog ECG data to digital by using
Arduino Uno. The acquisition part deal with acquiring the hardware data to analyzable
file format into pc. Here 6-channel ADC in Arduino Uno with LabVIEW interface is used
for conversion. Now the acquired ECG data is processed and analyzed with biomedical
workbench that provides the various features of ECG signal processing. This system is
very easy to implement and cost effective
Day by day the scope & use of the electronics concepts in bio-medical field is increasing step by step. In this paper the review of newly developed concepts is done for the monitoring of the ECG signal. This paper also reviews a power and area efficient electrocardiogram (ECG) acquisition and signal processing application sensor node. Further the study of IoT frame work for ECG monitoring has been carried out. Ms. Dhanashri Yamagekar | Dr. Pradip Bhaskar"Real time ECG Monitoring: A Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-1 , December 2017, URL: http://www.ijtsrd.com/papers/ijtsrd7065.pdf http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/7065/real-time-ecg-monitoring-a-review/ms-dhanashri-yamagekar
Instant elelectrocardiogram monitoring in android smart phonesIjrdt Journal
ECG (electrocardiogram) is very essential component for the doctors to diagnose the state of patient’s cardiovascular system. In critical situations doctors may need to examine ECG of patient instantly to take a firm and better decision in their absence near patient. In this paper a better way of instant ECG datatransfer, processing and display is demonstrated. Here ECG is acquired using simple 3 electrode single lead configuration then it is digitized and transmitted to Android smart phone in SMS message format. This SMS data is a bundle of values representing digital ECG. Acquired SMS data is fetched from inbox of the phone and processed for calculation of heart rate and detection of arrhythmia by Android application software. Then ECG is displayed on phone screen along with conclusion of heart rate and arrhythmia (if any).
A Wireless ECG Plaster for Real-Time Cardiac Health Monitoring in Body Senso...ecgpapers
In this paper we present a wireless ECG plaster
that can be used for real-time monitoring of ECG in cardiac
patients. The proposed device is light weight (25 grams),
wearable and can wirelessly transmit the patient’s ECG signal to
mobile phone or PC using ZigBee. The device has a battery life of
around 26 hours while in continuous operation, owing to the
proposed ultra-low power ECG acquisition front end chip. The
prototype has been verified in clinical trials.
Real Time Signal Quality Aware Internet of Things IOT Framework for FPGA Base...ijtsrd
Day by day the scope and use of the electronics concepts in bio-medical field is increasing gradually. A novel approach to the design of real time ECG signal acquisition system for patient monitoring in medical application, FPGA Field Programmable Gate Array is the core heart of proposed system which is configured and programmed to acquire using ECG Electrocardiogram sensor. In this paper a new concept of ECG telemetry system is discussed along with signal quality aware IoT framework for energy efficient ECG monitoring system. Tele monitoring is a medical practice that involves monitoring patients who are not at the same location as the healthcare provider. The purpose of the present study is use to identify heart condition and give the information to the doctor. The objective of the study is to improve the doctor-patient ratio and evaluation of cardiac diseases in the rural population. The proposed system for the electrocardiogram ECG monitoring controlled by FPGA and implemented in the form of android application. Dhanashri P. Yamagekar | Dr. P. C. Bhaskar "Real Time Signal Quality Aware Internet of Things (IOT) Framework for FPGA Based ECG Telemetry System and Development of Android Application" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-1 , December 2018, URL: http://www.ijtsrd.com/papers/ijtsrd18938.pdf
http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/18938/real-time-signal-quality-aware-internet-of-things-iot-framework-for-fpga-based-ecg-telemetry-system-and-development-of-android-application/dhanashri-p-yamagekar
Transmission of arm based real time ecg for monitoring remotely located patienteSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
An Implementation of Embedded System in Patient Monitoring Systemijsrd.com
This paper deals with the measuring of multi-parameter to measure ECG, temperature, evoked potential, respiration rate which uses sensors to measure the patient condition continuously in ICU. For each parameter it uses separate sensors .this multi-channel parameter uses special type of sensors called infracted rays (IR) which are not harmful to human body. All this signals are collected from the patient's body then it is send to the computer and it is diagnosed by the doctor .It reduces the work for the doctors and it gives accurate values. If any abnormalities in the patient's body it produces alarm and it alerts the doctors. This paper also deals with online videography i.e the doctors can view the patient's condition anywhere from the hospital's. Results are stored in the secondary storage system in computer for future reference. the results are obtained in the form of graph, waveforms.
The ECG signals captured from the body of the patient using three electrode model is processed and
conditioned by the analog front end device is finally sent to the data acquisition unit. The data acquisition
unit used is the user pc/ laptop with MATLAB. Using very specific image processing techniques the critical
intelligence from the captured image is extracted. From this processed image any sort of abnormal
conditions is determined which is informed to the corresponding doctor via text message. Simultaneously
the processed image is sent to the doctor mail by using specific TCP/IP protocol.
Design and implementation of portable electrocardiogram recorder with field ...IJECEIAES
The electrical activities of the heart are used to monitor cardiovascular diseases. It can be measured using electrocardiogram (ECG), a simple, painless test that can be recorded graphically. The physician, to predict the patient’s heart conditions and recommend suitable treatments, uses electrodes placed on the patient’s skin surface, to record these signals. The P, Q, R, S, T waves in the ECG signal can be used to determine the normality and abnormality of the heart's condition. The time interval differs for each cardiovascular condition of the heart. In this work, the ECG signal is acquired real-time using an intelligent sensor module, and the recorded value is processed to find the peak values. The data is sent to the web server using internet of things technology at a minimal time, where the physician can view it and proper decision can be taken. The real-time ECG data acquisition is also made using the field programmable gate array kit as it is a low cost, high-speed device and the output is viewed in the computer. The developed model is validated through MATLAB software and implemented for real-time applications.
Design and Implementation of Real Time Remote Supervisory SystemIJERA Editor
In today’s fast growing communication environment and rapid exchange of data in networking field has triggered us to develop a home based remote supervisory monitoring system. In the present paper the physiological parameters of the patient such as body temperature, ECG, Pulse rate and Oxygen Saturation is displayed in MATLAB graphical user interface which is processed using ARM7 LPC2138. In case any emergency persist and parameters goes abnormal over the optimum level then a buzzer will ring to alert the caretaker. And the vital parameters will be displayed on the patient side computer and an automatic SMS will be sent to the doctor using GSM interface.
Less computational approach to detect QRS complexes in ECG rhythmsCSITiaesprime
Electrocardiogram (ECG) signals are normally affected by artifacts that require manual assessment or use of other reference signals. Currently, Cardiographs are used to achieve basic necessary heart rate monitoring in real conditions. This work aims to study and identify main ECG features, QRS complexes, as one of the steps of a comprehensive ECG signal analysis. The proposed algorithm suggested an automatic recognition of QRS complexes in ECG rhythm. This method is designed based on several filter structure composes low pass, difference and summation filters. The filtered signal is fed to an adaptive threshold function to detect QRS complexes. The algorithm was validated and results were checked with experimental data based on sensitivity test.
The development of a wireless LCP-based intracranial pressure sensor for trau...IJECEIAES
Raised intracranial pressure (ICP) in traumatic brain injury (TBI) patients can lead to death. ICP measurement is required to monitor the condition of a patient and to inform TBI treatment. This work presents a new wireless liquid crystal polymer (LCP) based ICP sensor. The sensor is designed with the purpose of measuring ICP and wirelessly transmitting the signal to an external monitoring unit. The sensor is minimally invasive and biocompatible due to the mechanical design and the use of LCP. A prototype sensor and associated wireless module are fabricated and tested to demonstrate the functionality and performance of the wireless LCP-based ICP sensor. Experimental results show that the wireless LCP-based ICP sensor can operate in the pressure range of 0 - 60.12 mmHg. Based on repeated measurements, the sensitivity of the sensor is found to be 25.62 µVmmHg-1, with a standard deviation of ± 1.16 µVmmHg-1. This work represents a significant step towards achieving a wireless, implantable, minimally invasive ICP monitoring strategy for TBI patients.
International Journal of Computational Engineering Research(IJCER) ijceronline
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
ECG SIGNAL ACQUISITION, FEATURE EXTRACTION AND HRV ANALYSIS USING BIOMEDICAL ...IAEME Publication
This Paper contains the complete process of ECG/EKG signal Acquisition from
hardware to its analysis using LabVIEW and Biomedical Workbench. Hardware of ECG
has the amplification, filtering and conversion of analog ECG data to digital by using
Arduino Uno. The acquisition part deal with acquiring the hardware data to analyzable
file format into pc. Here 6-channel ADC in Arduino Uno with LabVIEW interface is used
for conversion. Now the acquired ECG data is processed and analyzed with biomedical
workbench that provides the various features of ECG signal processing. This system is
very easy to implement and cost effective
Day by day the scope & use of the electronics concepts in bio-medical field is increasing step by step. In this paper the review of newly developed concepts is done for the monitoring of the ECG signal. This paper also reviews a power and area efficient electrocardiogram (ECG) acquisition and signal processing application sensor node. Further the study of IoT frame work for ECG monitoring has been carried out. Ms. Dhanashri Yamagekar | Dr. Pradip Bhaskar"Real time ECG Monitoring: A Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-1 , December 2017, URL: http://www.ijtsrd.com/papers/ijtsrd7065.pdf http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/7065/real-time-ecg-monitoring-a-review/ms-dhanashri-yamagekar
Instant elelectrocardiogram monitoring in android smart phonesIjrdt Journal
ECG (electrocardiogram) is very essential component for the doctors to diagnose the state of patient’s cardiovascular system. In critical situations doctors may need to examine ECG of patient instantly to take a firm and better decision in their absence near patient. In this paper a better way of instant ECG datatransfer, processing and display is demonstrated. Here ECG is acquired using simple 3 electrode single lead configuration then it is digitized and transmitted to Android smart phone in SMS message format. This SMS data is a bundle of values representing digital ECG. Acquired SMS data is fetched from inbox of the phone and processed for calculation of heart rate and detection of arrhythmia by Android application software. Then ECG is displayed on phone screen along with conclusion of heart rate and arrhythmia (if any).
A Wireless ECG Plaster for Real-Time Cardiac Health Monitoring in Body Senso...ecgpapers
In this paper we present a wireless ECG plaster
that can be used for real-time monitoring of ECG in cardiac
patients. The proposed device is light weight (25 grams),
wearable and can wirelessly transmit the patient’s ECG signal to
mobile phone or PC using ZigBee. The device has a battery life of
around 26 hours while in continuous operation, owing to the
proposed ultra-low power ECG acquisition front end chip. The
prototype has been verified in clinical trials.
Real Time Signal Quality Aware Internet of Things IOT Framework for FPGA Base...ijtsrd
Day by day the scope and use of the electronics concepts in bio-medical field is increasing gradually. A novel approach to the design of real time ECG signal acquisition system for patient monitoring in medical application, FPGA Field Programmable Gate Array is the core heart of proposed system which is configured and programmed to acquire using ECG Electrocardiogram sensor. In this paper a new concept of ECG telemetry system is discussed along with signal quality aware IoT framework for energy efficient ECG monitoring system. Tele monitoring is a medical practice that involves monitoring patients who are not at the same location as the healthcare provider. The purpose of the present study is use to identify heart condition and give the information to the doctor. The objective of the study is to improve the doctor-patient ratio and evaluation of cardiac diseases in the rural population. The proposed system for the electrocardiogram ECG monitoring controlled by FPGA and implemented in the form of android application. Dhanashri P. Yamagekar | Dr. P. C. Bhaskar "Real Time Signal Quality Aware Internet of Things (IOT) Framework for FPGA Based ECG Telemetry System and Development of Android Application" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-1 , December 2018, URL: http://www.ijtsrd.com/papers/ijtsrd18938.pdf
http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/18938/real-time-signal-quality-aware-internet-of-things-iot-framework-for-fpga-based-ecg-telemetry-system-and-development-of-android-application/dhanashri-p-yamagekar
Transmission of arm based real time ecg for monitoring remotely located patienteSAT Publishing House
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
An Implementation of Embedded System in Patient Monitoring Systemijsrd.com
This paper deals with the measuring of multi-parameter to measure ECG, temperature, evoked potential, respiration rate which uses sensors to measure the patient condition continuously in ICU. For each parameter it uses separate sensors .this multi-channel parameter uses special type of sensors called infracted rays (IR) which are not harmful to human body. All this signals are collected from the patient's body then it is send to the computer and it is diagnosed by the doctor .It reduces the work for the doctors and it gives accurate values. If any abnormalities in the patient's body it produces alarm and it alerts the doctors. This paper also deals with online videography i.e the doctors can view the patient's condition anywhere from the hospital's. Results are stored in the secondary storage system in computer for future reference. the results are obtained in the form of graph, waveforms.
The ECG signals captured from the body of the patient using three electrode model is processed and
conditioned by the analog front end device is finally sent to the data acquisition unit. The data acquisition
unit used is the user pc/ laptop with MATLAB. Using very specific image processing techniques the critical
intelligence from the captured image is extracted. From this processed image any sort of abnormal
conditions is determined which is informed to the corresponding doctor via text message. Simultaneously
the processed image is sent to the doctor mail by using specific TCP/IP protocol.
Design and implementation of portable electrocardiogram recorder with field ...IJECEIAES
The electrical activities of the heart are used to monitor cardiovascular diseases. It can be measured using electrocardiogram (ECG), a simple, painless test that can be recorded graphically. The physician, to predict the patient’s heart conditions and recommend suitable treatments, uses electrodes placed on the patient’s skin surface, to record these signals. The P, Q, R, S, T waves in the ECG signal can be used to determine the normality and abnormality of the heart's condition. The time interval differs for each cardiovascular condition of the heart. In this work, the ECG signal is acquired real-time using an intelligent sensor module, and the recorded value is processed to find the peak values. The data is sent to the web server using internet of things technology at a minimal time, where the physician can view it and proper decision can be taken. The real-time ECG data acquisition is also made using the field programmable gate array kit as it is a low cost, high-speed device and the output is viewed in the computer. The developed model is validated through MATLAB software and implemented for real-time applications.
Design and Implementation of Real Time Remote Supervisory SystemIJERA Editor
In today’s fast growing communication environment and rapid exchange of data in networking field has triggered us to develop a home based remote supervisory monitoring system. In the present paper the physiological parameters of the patient such as body temperature, ECG, Pulse rate and Oxygen Saturation is displayed in MATLAB graphical user interface which is processed using ARM7 LPC2138. In case any emergency persist and parameters goes abnormal over the optimum level then a buzzer will ring to alert the caretaker. And the vital parameters will be displayed on the patient side computer and an automatic SMS will be sent to the doctor using GSM interface.
Less computational approach to detect QRS complexes in ECG rhythmsCSITiaesprime
Electrocardiogram (ECG) signals are normally affected by artifacts that require manual assessment or use of other reference signals. Currently, Cardiographs are used to achieve basic necessary heart rate monitoring in real conditions. This work aims to study and identify main ECG features, QRS complexes, as one of the steps of a comprehensive ECG signal analysis. The proposed algorithm suggested an automatic recognition of QRS complexes in ECG rhythm. This method is designed based on several filter structure composes low pass, difference and summation filters. The filtered signal is fed to an adaptive threshold function to detect QRS complexes. The algorithm was validated and results were checked with experimental data based on sensitivity test.
Electrocardiograph signal recognition using wavelet transform based on optim...IJECEIAES
Due to the growing number of cardiac patients, an automatic detection that detects various heart abnormalities has been developed to relieve and share physicians’ workload. Many of the depolarization of ventricles complex waves (QRS) detection algorithms with multiple properties have recently been presented; nevertheless, real-time implementations in low-cost systems remain a challenge due to limited hardware resources. The proposed algorithm finds a solution for the delay in processing by minimizing the input vector’s dimension and, as a result, the classifier’s complexity. In this paper, the wavelet transform is employed for feature extraction. The optimized neural network is used for classification with 8-classes for the electrocardiogram (ECG) signal this data is taken from two ECG signals (ST-T and MIT-BIH database). The wavelet transform coefficients are used for the artificial neural network’s training process and optimized by using the invasive weed optimization (IWO) algorithm. The suggested system has a sensitivity of over 70%, a specificity of over 94%, a positive predictive of over 65%, a negative predictive of more than 93%, and a classification accuracy of more than 80%. The performance of the classifier improves when the number of neurons in the hidden layer is increased.
Compression and encryption for ECG biomedical signal in healthcare systemTELKOMNIKA JOURNAL
The ECG data needs large memory storage device due to continuous heart rate logs and vital parameter storage. Thus, efficient compression schemes are applied to it before sending it to the telemedicine center for monitoring and analysis. Proper compression mechanisms can not only improve the storage efficiency but also help in faster porting of data from one device to another due to its compact size. Also, the collected ECG signals are processed through various filtering techniques to remove unnecessary noise and then compressed. In our scheme, we propose use of buffer blocks, which is quite novel in this field. Usage of highly efficient methods for peak detection, noise removal, compression and encryption enable seamless and secure transmission of ECG signal from sensor to the monitor. This work further makes use of AES 256 CBC mode, which is barely used in embedded devices, proves to be very strong and efficient in ciphering of the information. The PRD outcome of proposed work comes as 0.41% and CR as 0.35%, which is quite better than existing schemes. Experimental results prove the efficiency of proposed schemes on five distinct signal records from MIT-BIH arrhythmia datasets.
Feature extraction of electrocardiogram signal using machine learning classif...IJECEIAES
In the various field of life person identification is an essential and important task. This helps for the investigation of criminal activities and used in various type of forensic applications like surveillance. For biometric recognition iris, face, voice and fingerprint have a limited fabrication and from there the exact decision regarding liveliness of the subject can be drawn. The aim of the approach is to construct a biometric recognition system based on ECG which processes the raw ECG signal. The entire process is supported by different filters for noise elimination and ECG characteristics waves gone through time domain analysis. Based on the analysis an efficient feature extraction model is developed where several best P-QRS-T signal parts are taken and the positions of the fragmented signals are normalized depends on the priorities of their positions. The calculation of domain features done 72 times. It checks the data sets (train and test) and from feature vector matching to each of the individual signal, separately. The performance and utility of the system are analyzed and feature vectors are examined by different classification algorithms of machine learning. The leading algorithms like K-nearest neighbor, artificial neural network and support vector machine are used to classify different features of ECG, and it is tested using standard cardiac database i.e. the MIT-BIH ECG -ID database.
Electrocardiogram signal processing algorithm on microcontroller using wavele...IJECEIAES
The electrocardiogram (ECG) is an important parameter for analyzing the cardiac system. It serves as the primary diagnostic tool for patients with suspected heart disease, guiding appropriate cardiac investigations according to the disease or condition suspected. However, ECG measurements may generate noise, leading to false diagnoses. The wavelet transform is an effective and widely-used technique for eliminating noise. Typically, analysis and generation algorithms are developed on computer and using software built in. This paper presents a noise elimination algorithm based on the wavelet transform method, designed to operate on resource-limited Node microcontroller unit (MCU). An efficiency study was conducted to determine the optimum mother wavelet implementation of the algorithm, and the results showed that, when considering synthetic ECG signals, db4 was the most suitable for eliminating interference by achieving the highest signal to noise ratio (SNR) and correlation coefficient. In addition, this algorithm prototype can analyze ECG signals using the wavelet transform method processed in a microcontroller and is accurate compared to reliable programs. It has the potential to be further developed into a low-cost portable ECG signal measurement tool for use in remote medicine, healthcare facilities in resource-limited areas, education and training, as well as home monitoring for chronic patients.
A Joint QRS Detection and Data Compression Scheme for Wearable Sensorsecgpapers
Abstract—This paper presents a novel electrocardiogram (ECG)
processing technique for joint data compression and QRS detection
in awireless wearable sensor. The proposed algorithm is aimed
at lowering the average complexity per task by sharing the computational
load among multiple essential signal-processing tasks
needed for wearable devices. The compression algorithm, which is
based on an adaptive linear data prediction scheme, achieves a lossless
bit compression ratio of 2.286x. The QRS detection algorithm
achieves a sensitivity (Se) of 99.64% and positive prediction (+P)
of 99.81% when tested with the MIT/BIH Arrhythmia database.
Lower overall complexity and good performance renders the proposed
technique suitable for wearable/ambulatory ECG devices.
Motion artifacts reduction in cardiac pulse signal acquired from video imaging IJECEIAES
This study examines the possibility of remotely measuring the cardiac pulse activity of a patient, which could be an alternative technique to the classical method. This type of measurement is non-invasive. However, several limitations may deteriorate the accuracy of the results, including changes in ambient illumination, motion artifacts (MA) and other interferences that may occur through video recording. The paper in hand presents a new approach as a remedy for the aforementioned problem in cardiac pulse signals extracted from facial video recordings. Partitioning provides the basis for the presented MA reduction method; the acquired signals are partitioned into two sets for each second and every partition is shifted to the mean level and then all the partitions are recombined again into one signal, which is followed by low-pass filtering for enhancement. The proposed compared with ordinary pulse oximetry Photoplethysmographic (PPG) method. The resulted correlation coefficient was found (0.957) when calculated between the results of the proposed method and the ordinary one. Experiments were implemented using a common camera by creating a dataset from 11 subjects. The ease of implementation of this method with a simple that can be used to monitor the cardiac pulse rates in both home and the clinical environments.
In this paper, an ATmega16 based system for vital signs recording using GSM is developed to measure patient’s
Heart Rate, Blood oxygen saturation percentage ,Body Temperature & also records ECG in real time. Nowadays people
are dying because of various health problems so a device will be designed to keep track on patient which should be easy
to use, portable, light weighted, small size so that it gives freedom of mobility for patient. The system is for home use by
patients that are not in critical condition but need to be periodically monitored by clinician. At any critical condition the
SMS is send to the doctor so that quick services can be provided.
Medical system based on thermal optical system and neural networkIJECEIAES
Military personnel in the training or operational phases always need constant medical examination, but the presence of efficient medical care is difficult to implement in real-time for such cases. A wireless system for thermal tracking of soldiers was proposed, as well as tracking their vital signs in real time. Thermal cameras are used with an optical system designed to increase the accuracy of the thermal images captured as the change in the electrocardiogram, heart rate, and temperature measurements are measured using a specially designed circuit. The results from both the thermal system and the biometric system are combined and sent to a computer for analysis using a model prepared with neural network technology. The proposed system was tested, and a database was created for 127 males and 110 females during training and rest times. The neural network model achieved a response time of 85 seconds until the release of the final analysis, and the accuracy of the proposed tracking system is 96%. The main contribution of this paper is the design of an integrated portable system for rapid, in-field, real-time military medical diagnostics.
An ECG Compressed Sensing Method of Low Power Body Area NetworkNooria Sukmaningtyas
Aimed at low power problem in body area network, an ECG compressed sensing method of low
power body area network based on the compressed sensing theory was proposed. Random binary
matrices were used as the sensing matrix to measure ECG signals on the sensor nodes. After measured
value is transmitted to remote monitoring center, ECG signal sparse representation under the discrete
cosine transform and block sparse Bayesian learning reconstruction algorithm is used to reconstruct the
ECG signals. The simulation results show that the 30% of overall signal can get reconstruction signal
which’s SNR is more than 60dB, each numbers in each rank of sensing matrix can be controlled below 5,
which reduces the power of sensor node sampling, calculation and transmission. The method has the
advantages of low power, high accuracy of signal reconstruction and easy to hardware implementation.
Implementation of ecg signal acquisition and transmission through bluetooth t...eSAT Journals
Abstract The proposed system of this paper introduces the ECG signal acquisition by using electrodes and transmits the obtained ECG signal through Bluetooth technology. To achieve this ECG signal acquisition and transmission, we have to use three nodes as ECG acquisition node, Wireless communication node and signal monitoring node. For transmission and receiving process, the Bluetooth from the ECG signal acquisition node will be act as the sender (server) and the Bluetooth from monitoring node will act as the receiver. This paper is useful for analyzing the obtained ECG signal and can be used for the purpose of telemedicine systems. Keywords- ECG signals, WLAN, Bluetooth technology, Monitoring, Telemedicine Systems
Similar to A low-cost electro-cardiograph machine equipped with sensitivity and paper speed option (20)
Amazon products reviews classification based on machine learning, deep learni...TELKOMNIKA JOURNAL
In recent times, the trend of online shopping through e-commerce stores and websites has grown to a huge extent. Whenever a product is purchased on an e-commerce platform, people leave their reviews about the product. These reviews are very helpful for the store owners and the product’s manufacturers for the betterment of their work process as well as product quality. An automated system is proposed in this work that operates on two datasets D1 and D2 obtained from Amazon. After certain preprocessing steps, N-gram and word embedding-based features are extracted using term frequency-inverse document frequency (TF-IDF), bag of words (BoW) and global vectors (GloVe), and Word2vec, respectively. Four machine learning (ML) models support vector machines (SVM), logistic regression (RF), logistic regression (LR), multinomial Naïve Bayes (MNB), two deep learning (DL) models convolutional neural network (CNN), long-short term memory (LSTM), and standalone bidirectional encoder representations (BERT) are used to classify reviews as either positive or negative. The results obtained by the standard ML, DL models and BERT are evaluated using certain performance evaluation measures. BERT turns out to be the best-performing model in the case of D1 with an accuracy of 90% on features derived by word embedding models while the CNN provides the best accuracy of 97% upon word embedding features in the case of D2. The proposed model shows better overall performance on D2 as compared to D1.
Design, simulation, and analysis of microstrip patch antenna for wireless app...TELKOMNIKA JOURNAL
In this study, a microstrip patch antenna that works at 3.6 GHz was built and tested to see how well it works. In this work, Rogers RT/Duroid 5880 has been used as the substrate material, with a dielectric permittivity of 2.2 and a thickness of 0.3451 mm; it serves as the base for the examined antenna. The computer simulation technology (CST) studio suite is utilized to show the recommended antenna design. The goal of this study was to get a more extensive transmission capacity, a lower voltage standing wave ratio (VSWR), and a lower return loss, but the main goal was to get a higher gain, directivity, and efficiency. After simulation, the return loss, gain, directivity, bandwidth, and efficiency of the supplied antenna are found to be -17.626 dB, 9.671 dBi, 9.924 dBi, 0.2 GHz, and 97.45%, respectively. Besides, the recreation uncovered that the transfer speed side-lobe level at phi was much better than those of the earlier works, at -28.8 dB, respectively. Thus, it makes a solid contender for remote innovation and more robust communication.
Design and simulation an optimal enhanced PI controller for congestion avoida...TELKOMNIKA JOURNAL
In this paper, snake optimization algorithm (SOA) is used to find the optimal gains of an enhanced controller for controlling congestion problem in computer networks. M-file and Simulink platform is adopted to evaluate the response of the active queue management (AQM) system, a comparison with two classical controllers is done, all tuned gains of controllers are obtained using SOA method and the fitness function chose to monitor the system performance is the integral time absolute error (ITAE). Transient analysis and robust analysis is used to show the proposed controller performance, two robustness tests are applied to the AQM system, one is done by varying the size of queue value in different period and the other test is done by changing the number of transmission control protocol (TCP) sessions with a value of ± 20% from its original value. The simulation results reflect a stable and robust behavior and best performance is appeared clearly to achieve the desired queue size without any noise or any transmission problems.
Improving the detection of intrusion in vehicular ad-hoc networks with modifi...TELKOMNIKA JOURNAL
Vehicular ad-hoc networks (VANETs) are wireless-equipped vehicles that form networks along the road. The security of this network has been a major challenge. The identity-based cryptosystem (IBC) previously used to secure the networks suffers from membership authentication security features. This paper focuses on improving the detection of intruders in VANETs with a modified identity-based cryptosystem (MIBC). The MIBC is developed using a non-singular elliptic curve with Lagrange interpolation. The public key of vehicles and roadside units on the network are derived from number plates and location identification numbers, respectively. Pseudo-identities are used to mask the real identity of users to preserve their privacy. The membership authentication mechanism ensures that only valid and authenticated members of the network are allowed to join the network. The performance of the MIBC is evaluated using intrusion detection ratio (IDR) and computation time (CT) and then validated with the existing IBC. The result obtained shows that the MIBC recorded an IDR of 99.3% against 94.3% obtained for the existing identity-based cryptosystem (EIBC) for 140 unregistered vehicles attempting to intrude on the network. The MIBC shows lower CT values of 1.17 ms against 1.70 ms for EIBC. The MIBC can be used to improve the security of VANETs.
Conceptual model of internet banking adoption with perceived risk and trust f...TELKOMNIKA JOURNAL
Understanding the primary factors of internet banking (IB) acceptance is critical for both banks and users; nevertheless, our knowledge of the role of users’ perceived risk and trust in IB adoption is limited. As a result, we develop a conceptual model by incorporating perceived risk and trust into the technology acceptance model (TAM) theory toward the IB. The proper research emphasized that the most essential component in explaining IB adoption behavior is behavioral intention to use IB adoption. TAM is helpful for figuring out how elements that affect IB adoption are connected to one another. According to previous literature on IB and the use of such technology in Iraq, one has to choose a theoretical foundation that may justify the acceptance of IB from the customer’s perspective. The conceptual model was therefore constructed using the TAM as a foundation. Furthermore, perceived risk and trust were added to the TAM dimensions as external factors. The key objective of this work was to extend the TAM to construct a conceptual model for IB adoption and to get sufficient theoretical support from the existing literature for the essential elements and their relationships in order to unearth new insights about factors responsible for IB adoption.
Efficient combined fuzzy logic and LMS algorithm for smart antennaTELKOMNIKA JOURNAL
The smart antennas are broadly used in wireless communication. The least mean square (LMS) algorithm is a procedure that is concerned in controlling the smart antenna pattern to accommodate specified requirements such as steering the beam toward the desired signal, in addition to placing the deep nulls in the direction of unwanted signals. The conventional LMS (C-LMS) has some drawbacks like slow convergence speed besides high steady state fluctuation error. To overcome these shortcomings, the present paper adopts an adaptive fuzzy control step size least mean square (FC-LMS) algorithm to adjust its step size. Computer simulation outcomes illustrate that the given model has fast convergence rate as well as low mean square error steady state.
Design and implementation of a LoRa-based system for warning of forest fireTELKOMNIKA JOURNAL
This paper presents the design and implementation of a forest fire monitoring and warning system based on long range (LoRa) technology, a novel ultra-low power consumption and long-range wireless communication technology for remote sensing applications. The proposed system includes a wireless sensor network that records environmental parameters such as temperature, humidity, wind speed, and carbon dioxide (CO2) concentration in the air, as well as taking infrared photos.The data collected at each sensor node will be transmitted to the gateway via LoRa wireless transmission. Data will be collected, processed, and uploaded to a cloud database at the gateway. An Android smartphone application that allows anyone to easily view the recorded data has been developed. When a fire is detected, the system will sound a siren and send a warning message to the responsible personnel, instructing them to take appropriate action. Experiments in Tram Chim Park, Vietnam, have been conducted to verify and evaluate the operation of the system.
Wavelet-based sensing technique in cognitive radio networkTELKOMNIKA JOURNAL
Cognitive radio is a smart radio that can change its transmitter parameter based on interaction with the environment in which it operates. The demand for frequency spectrum is growing due to a big data issue as many Internet of Things (IoT) devices are in the network. Based on previous research, most frequency spectrum was used, but some spectrums were not used, called spectrum hole. Energy detection is one of the spectrum sensing methods that has been frequently used since it is easy to use and does not require license users to have any prior signal understanding. But this technique is incapable of detecting at low signal-to-noise ratio (SNR) levels. Therefore, the wavelet-based sensing is proposed to overcome this issue and detect spectrum holes. The main objective of this work is to evaluate the performance of wavelet-based sensing and compare it with the energy detection technique. The findings show that the percentage of detection in wavelet-based sensing is 83% higher than energy detection performance. This result indicates that the wavelet-based sensing has higher precision in detection and the interference towards primary user can be decreased.
A novel compact dual-band bandstop filter with enhanced rejection bandsTELKOMNIKA JOURNAL
In this paper, we present the design of a new wide dual-band bandstop filter (DBBSF) using nonuniform transmission lines. The method used to design this filter is to replace conventional uniform transmission lines with nonuniform lines governed by a truncated Fourier series. Based on how impedances are profiled in the proposed DBBSF structure, the fractional bandwidths of the two 10 dB-down rejection bands are widened to 39.72% and 52.63%, respectively, and the physical size has been reduced compared to that of the filter with the uniform transmission lines. The results of the electromagnetic (EM) simulation support the obtained analytical response and show an improved frequency behavior.
Deep learning approach to DDoS attack with imbalanced data at the application...TELKOMNIKA JOURNAL
A distributed denial of service (DDoS) attack is where one or more computers attack or target a server computer, by flooding internet traffic to the server. As a result, the server cannot be accessed by legitimate users. A result of this attack causes enormous losses for a company because it can reduce the level of user trust, and reduce the company’s reputation to lose customers due to downtime. One of the services at the application layer that can be accessed by users is a web-based lightweight directory access protocol (LDAP) service that can provide safe and easy services to access directory applications. We used a deep learning approach to detect DDoS attacks on the CICDDoS 2019 dataset on a complex computer network at the application layer to get fast and accurate results for dealing with unbalanced data. Based on the results obtained, it is observed that DDoS attack detection using a deep learning approach on imbalanced data performs better when implemented using synthetic minority oversampling technique (SMOTE) method for binary classes. On the other hand, the proposed deep learning approach performs better for detecting DDoS attacks in multiclass when implemented using the adaptive synthetic (ADASYN) method.
The appearance of uncertainties and disturbances often effects the characteristics of either linear or nonlinear systems. Plus, the stabilization process may be deteriorated thus incurring a catastrophic effect to the system performance. As such, this manuscript addresses the concept of matching condition for the systems that are suffering from miss-match uncertainties and exogeneous disturbances. The perturbation towards the system at hand is assumed to be known and unbounded. To reach this outcome, uncertainties and their classifications are reviewed thoroughly. The structural matching condition is proposed and tabulated in the proposition 1. Two types of mathematical expressions are presented to distinguish the system with matched uncertainty and the system with miss-matched uncertainty. Lastly, two-dimensional numerical expressions are provided to practice the proposed proposition. The outcome shows that matching condition has the ability to change the system to a design-friendly model for asymptotic stabilization.
Implementation of FinFET technology based low power 4×4 Wallace tree multipli...TELKOMNIKA JOURNAL
Many systems, including digital signal processors, finite impulse response (FIR) filters, application-specific integrated circuits, and microprocessors, use multipliers. The demand for low power multipliers is gradually rising day by day in the current technological trend. In this study, we describe a 4×4 Wallace multiplier based on a carry select adder (CSA) that uses less power and has a better power delay product than existing multipliers. HSPICE tool at 16 nm technology is used to simulate the results. In comparison to the traditional CSA-based multiplier, which has a power consumption of 1.7 µW and power delay product (PDP) of 57.3 fJ, the results demonstrate that the Wallace multiplier design employing CSA with first zero finding logic (FZF) logic has the lowest power consumption of 1.4 µW and PDP of 27.5 fJ.
Evaluation of the weighted-overlap add model with massive MIMO in a 5G systemTELKOMNIKA JOURNAL
The flaw in 5G orthogonal frequency division multiplexing (OFDM) becomes apparent in high-speed situations. Because the doppler effect causes frequency shifts, the orthogonality of OFDM subcarriers is broken, lowering both their bit error rate (BER) and throughput output. As part of this research, we use a novel design that combines massive multiple input multiple output (MIMO) and weighted overlap and add (WOLA) to improve the performance of 5G systems. To determine which design is superior, throughput and BER are calculated for both the proposed design and OFDM. The results of the improved system show a massive improvement in performance ver the conventional system and significant improvements with massive MIMO, including the best throughput and BER. When compared to conventional systems, the improved system has a throughput that is around 22% higher and the best performance in terms of BER, but it still has around 25% less error than OFDM.
Reflector antenna design in different frequencies using frequency selective s...TELKOMNIKA JOURNAL
In this study, it is aimed to obtain two different asymmetric radiation patterns obtained from antennas in the shape of the cross-section of a parabolic reflector (fan blade type antennas) and antennas with cosecant-square radiation characteristics at two different frequencies from a single antenna. For this purpose, firstly, a fan blade type antenna design will be made, and then the reflective surface of this antenna will be completed to the shape of the reflective surface of the antenna with the cosecant-square radiation characteristic with the frequency selective surface designed to provide the characteristics suitable for the purpose. The frequency selective surface designed and it provides the perfect transmission as possible at 4 GHz operating frequency, while it will act as a band-quenching filter for electromagnetic waves at 5 GHz operating frequency and will be a reflective surface. Thanks to this frequency selective surface to be used as a reflective surface in the antenna, a fan blade type radiation characteristic at 4 GHz operating frequency will be obtained, while a cosecant-square radiation characteristic at 5 GHz operating frequency will be obtained.
Reagentless iron detection in water based on unclad fiber optical sensorTELKOMNIKA JOURNAL
A simple and low-cost fiber based optical sensor for iron detection is demonstrated in this paper. The sensor head consist of an unclad optical fiber with the unclad length of 1 cm and it has a straight structure. Results obtained shows a linear relationship between the output light intensity and iron concentration, illustrating the functionality of this iron optical sensor. Based on the experimental results, the sensitivity and linearity are achieved at 0.0328/ppm and 0.9824 respectively at the wavelength of 690 nm. With the same wavelength, other performance parameters are also studied. Resolution and limit of detection (LOD) are found to be 0.3049 ppm and 0.0755 ppm correspondingly. This iron sensor is advantageous in that it does not require any reagent for detection, enabling it to be simpler and cost-effective in the implementation of the iron sensing.
Impact of CuS counter electrode calcination temperature on quantum dot sensit...TELKOMNIKA JOURNAL
In place of the commercial Pt electrode used in quantum sensitized solar cells, the low-cost CuS cathode is created using electrophoresis. High resolution scanning electron microscopy and X-ray diffraction were used to analyze the structure and morphology of structural cubic samples with diameters ranging from 40 nm to 200 nm. The conversion efficiency of solar cells is significantly impacted by the calcination temperatures of cathodes at 100 °C, 120 °C, 150 °C, and 180 °C under vacuum. The fluorine doped tin oxide (FTO)/CuS cathode electrode reached a maximum efficiency of 3.89% when it was calcined at 120 °C. Compared to other temperature combinations, CuS nanoparticles crystallize at 120 °C, which lowers resistance while increasing electron lifetime.
In place of the commercial Pt electrode used in quantum sensitized solar cells, the low-cost CuS cathode is created using electrophoresis. High resolution scanning electron microscopy and X-ray diffraction were used to analyze the structure and morphology of structural cubic samples with diameters ranging from 40 nm to 200 nm. The conversion efficiency of solar cells is significantly impacted by the calcination temperatures of cathodes at 100 °C, 120 °C, 150 °C, and 180 °C under vacuum. The fluorine doped tin oxide (FTO)/CuS cathode electrode reached a maximum efficiency of 3.89% when it was calcined at 120 °C. Compared to other temperature combinations, CuS nanoparticles crystallize at 120 °C, which lowers resistance while increasing electron lifetime.
A progressive learning for structural tolerance online sequential extreme lea...TELKOMNIKA JOURNAL
This article discusses the progressive learning for structural tolerance online sequential extreme learning machine (PSTOS-ELM). PSTOS-ELM can save robust accuracy while updating the new data and the new class data on the online training situation. The robustness accuracy arises from using the householder block exact QR decomposition recursive least squares (HBQRD-RLS) of the PSTOS-ELM. This method is suitable for applications that have data streaming and often have new class data. Our experiment compares the PSTOS-ELM accuracy and accuracy robustness while data is updating with the batch-extreme learning machine (ELM) and structural tolerance online sequential extreme learning machine (STOS-ELM) that both must retrain the data in a new class data case. The experimental results show that PSTOS-ELM has accuracy and robustness comparable to ELM and STOS-ELM while also can update new class data immediately.
Electroencephalography-based brain-computer interface using neural networksTELKOMNIKA JOURNAL
This study aimed to develop a brain-computer interface that can control an electric wheelchair using electroencephalography (EEG) signals. First, we used the Mind Wave Mobile 2 device to capture raw EEG signals from the surface of the scalp. The signals were transformed into the frequency domain using fast Fourier transform (FFT) and filtered to monitor changes in attention and relaxation. Next, we performed time and frequency domain analyses to identify features for five eye gestures: opened, closed, blink per second, double blink, and lookup. The base state was the opened-eyes gesture, and we compared the features of the remaining four action gestures to the base state to identify potential gestures. We then built a multilayer neural network to classify these features into five signals that control the wheelchair’s movement. Finally, we designed an experimental wheelchair system to test the effectiveness of the proposed approach. The results demonstrate that the EEG classification was highly accurate and computationally efficient. Moreover, the average performance of the brain-controlled wheelchair system was over 75% across different individuals, which suggests the feasibility of this approach.
Adaptive segmentation algorithm based on level set model in medical imagingTELKOMNIKA JOURNAL
For image segmentation, level set models are frequently employed. It offer best solution to overcome the main limitations of deformable parametric models. However, the challenge when applying those models in medical images stills deal with removing blurs in image edges which directly affects the edge indicator function, leads to not adaptively segmenting images and causes a wrong analysis of pathologies wich prevents to conclude a correct diagnosis. To overcome such issues, an effective process is suggested by simultaneously modelling and solving systems’ two-dimensional partial differential equations (PDE). The first PDE equation allows restoration using Euler’s equation similar to an anisotropic smoothing based on a regularized Perona and Malik filter that eliminates noise while preserving edge information in accordance with detected contours in the second equation that segments the image based on the first equation solutions. This approach allows developing a new algorithm which overcome the studied model drawbacks. Results of the proposed method give clear segments that can be applied to any application. Experiments on many medical images in particular blurry images with high information losses, demonstrate that the developed approach produces superior segmentation results in terms of quantity and quality compared to other models already presented in previeous works.
Automatic channel selection using shuffled frog leaping algorithm for EEG bas...TELKOMNIKA JOURNAL
Drug addiction is a complex neurobiological disorder that necessitates comprehensive treatment of both the body and mind. It is categorized as a brain disorder due to its impact on the brain. Various methods such as electroencephalography (EEG), functional magnetic resonance imaging (FMRI), and magnetoencephalography (MEG) can capture brain activities and structures. EEG signals provide valuable insights into neurological disorders, including drug addiction. Accurate classification of drug addiction from EEG signals relies on appropriate features and channel selection. Choosing the right EEG channels is essential to reduce computational costs and mitigate the risk of overfitting associated with using all available channels. To address the challenge of optimal channel selection in addiction detection from EEG signals, this work employs the shuffled frog leaping algorithm (SFLA). SFLA facilitates the selection of appropriate channels, leading to improved accuracy. Wavelet features extracted from the selected input channel signals are then analyzed using various machine learning classifiers to detect addiction. Experimental results indicate that after selecting features from the appropriate channels, classification accuracy significantly increased across all classifiers. Particularly, the multi-layer perceptron (MLP) classifier combined with SFLA demonstrated a remarkable accuracy improvement of 15.78% while reducing time complexity.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
2. ISSN: 1693-6930
TELKOMNIKA Vol. 17, No. 3, June 2019: 1275-1281
1276
processing analysis. Previous studies development of three lead ECG machine with each
different advantage [13-16]. The main advantage of constructing a three lead ECG machine is
taking a measurement during transportation of the patient. The three lead ECG machine
requires only patients’ limbs to take readings not whole chest area like in 12-lead ECG machine.
Although in three lead ECG machine we can observe only two sides of the human heart i.e.,
lateral side and inferior side of the heart. ECG De-noising using Hybrid Linearization
Method [17]. This project proposes a method called Hybrid Linearization Method which is a
combination of Extended Kalman Filter along with Discrete Wavelet Transform (DWT) resulting
in an improved de-noised signal.
Another related study was performed by Gargiulo which talk about Wilson Central
Terminal. However, concerns have been raised by researchers about problems (biasing and
misdiagnosis) associated with the ambiguous value and behavior of this reference voltage, which
requires perfect and balanced contact of at least four electrodes to work properly [18]. A study on
heart rate monitoring and PQRST detection based on the graphical user interface with MATLAB
was also studied by Jaber Al- Ziarjiwey [19]. In the project, he designed an intelligent, simple
ECG, which collects ECG signals of the human body, and display the real-time ECG waveforms
and heart rates using the SCM (single-chip microcomputer) controlled LCD. The system is
connected to the PC with serial communication interface and programs with high-level languages,
thus achieving the waveform’s display, analysis,and processing. Kao proposed a
microcontroller-based data acquisition system for heart rate variability (HRV) measurement [20].
In his study, he presented an inexpensive AVR microcontroller-based data acquisition system with
a computer. The Peak of the PQRST and Trajectory Path of Each Cycle of the ECG 12-Lead
Wave by Setiawidayat et al. [13].This project proposes to describe the record of the ECG 12-lead
examination in order to obtain the peaks of the P, Q, R, S,and T from each cycle and also to
present the Peak of the PQRST and the trajectory path of each cycle of the ECG 12- lead wave.
Adaptive Denoising of Impulse Noise with Enhanced Edge Preservation [21].
The project discusses the noisy pixels that are detected by a Decision tree based impulse
detector which is followed by an Edge-preserving image filter which reconstructs their intensity
values. Impuls Noise Cancellation ECG signal using adaptive Filter and their comparison. This
project proposes to apply in the corrupted ECG signal to remove the noise. The effectiveness of
the proposed approach is verified for the ECG signal with impulsive noise as compared to the
traditional approaches as well as previously proposed approaches. However, in the study, there
is no option to change the sensitivity and paper speed. Previously, B.G. Irianto had developed
an electrocardiograph machine based on Atmega microcontroller [22]. However, the
weaknesses of the previous researches are the recording speed that only applied one speed 25
mm/s and one sensitivity one mV. The fact showed that the speeds 25 mm/s and 50 mm/s and
the sensitivity 0.5 mV, one mV, and 2mV are needed for a diagnostic purpose.
Therefore, in order to solve the problems found in previous studies, here in this study,
we develop an ECG machines that can store more data and increase the number of leads to 12
channels equipped with paper speed (25 mm/s and 50 mm/s) and sensitivity selector (0,5 mV,
1 mV and 2 mV). In the diagnostic purposes, these selectionsare used in the normal and
abnormal condition (such as tachycardia or bradycardia). The specific purposes of this study
are: (1) to build a microcontroller circuit for data acquisition, (2) to control the motor speed
(25 mm/sec and 50 mm/sec), (3) to select the sensitivity (0,5 mV, 1 mV, 2 mV), (4) to
communicate with a Personal Computer (PC), (5) to design a software to measure the heart
rate of the ECG signal. The contribution of this study is that we can provide a low-cost and
standard ECG machine which the circuit can be built with the components from local markets.
2. Materials and Method
In this study, the ECG signal was collected from 10 healthy male subjects and a
phantom for artificial ECG signal. The electrodes were placed on the 12-lead standard ECG
measurement. A buffer amplifier was needed to prevent the ECG signal from the amplitude
decrease and to maintain the shape of the ECG signal. An analog multiplexer 4051 was chosen
to select the channel of the ECG signal. This multiplexer controlled by the microcontroller.
A high CMRR pre-amplifier which built by an AD602 was used to reduce the common mode
noise at the preamplifier input. ECG signal has a small amplitude; therefore, it was easily
influenced by noises. In order to maintain the quality of the ECG signal, a bandpass filter was
3. TELKOMNIKA ISSN: 1693-6930
A low-cost electro-cardiographmachine equipped with sensitivity... (Bambang Guruh Irianto)
1277
applied with a cutoff frequency of 0.05 and 100 Hz. Generally, an offset amplifier was needed to
adjust the zero offset of the ECG signal before entering the power amplifier. A built-in of analog
to digital converter from ATMEGA16 Microcontroller was used to convert from ECG analog to
digital data. Serial communication RS232 was applied to send the ECG data to the computer
unit. In this study, a high-level programming using Delphi 6.
This research applies quasi-experimental design namely time series design.
The independent variable is the ECG phantom,and the dependent variable is ECG Machine.
The research was performed at the Department of Electromedical Engineering Health
Polytechnic of Surabaya, Indonesia,and the research duration is six months, starting from May
to October 2017 [23].
3. Results and Discussion
3.1. Result
3.1.1. Beat per Minute
The result of this research is the design of the ATMEGA microcontroller-based ECG
machine shown in Figure 1. The results of the measurement of heart rate by using the standard
ECG phantom (30 BPM, 60 BPM,and 120 BPM), Sensitivity (0,5 mV, 1 mV, and 2 mV) and
measuring results R wave can be seen in Tables 1-5 and Figure 2.
Buffer amplifier
Multiplexer 4051
Pre-amplifier
Highpass filter
fc=0.05
Lowpass filter
fc=100
Summing
amplifier
Microcontroller
Computer
Delphi
Programming
User
Display
ECG and
Panel
Electrodes
Serial
communication
INPUT PROCESS OUTPUT
Figure 1. The diagram block of ECG machine
Figure 2. A representation of the ECG signal from lead II
4. ISSN: 1693-6930
TELKOMNIKA Vol. 17, No. 3, June 2019: 1275-1281
1278
Table 1 shows the result of equipment test with standard ECG phantom (Fluke type
MPS 450 Multiparameter Simulator Biomedical) as a comparison tool, for heart rate parameter
with standard 30 BPM, the % Relative Error is 0.05556 and Uncertainty (Ua): 0.016801. Table 2
shows the result of equipment test with standard ECG phantom (Fluke type MPS
450 Multiparameter Simulator Biomedical) as a comparison tool, for heart rate parameter with
standard 60 BPM, the % Relative error (% Error): 0.0556 and Uncertainty (Ua): 0.02356.
Table 3 shows the result of equipment test with standard ECG phantom (Fluke type MPS
450 Multiparameter Simulator Biomedical) as a comparison tool, for heart rate parameter with
standard 120 BPM, the % Relative error (% Error): 0.02778% and Uncertainty (Ua): 0.02356.
Table 1. Results of Measurement of Heart Rate (BPM) with a Standard Phantom 30 BPM
Set Media Personal Computer ( BPM ) Average
% Relative
Error
SD
Uncertainty
(UA)
Lead 1 30 30 30 30 30
Lead 2 30 30 30 30 30
Lead 3 30 30 30 30 30
Lead AVR 29 30 30 30 30
Lead AVL 30 30 30 30 30
Lead AVF 30 30 30 30 30 29.98333 0.055566% 0.129099 0.016801
V1 30 30 30 30 30
V2 30 30 30 30 30
V3 30 30 30 30 30
V4 30 30 30 30 30
V5 30 30 30 30 30
V6 30 30 30 30 30
Table 2. Results of Measurement of Heart Rate (BPM) with a Standard Phantom 60 BPM
Set Media Personal Computer ( BPM ) Average
% Relative
Error
SD
Uncertainty
(UA)
Lead 1 59 60 60 60 60
Lead 2 60 60 60 60 60
Lead 3 60 60 60 60 60
Lead AVR 60 60 60 60 60
Lead AVL 60 60 60 60 60
Lead AVF 60 60 60 60 60 59,96667 0.05555% 0,18102 0,02356
V1 60 60 60 60 60
V2 60 60 60 60 60
V3 60 60 60 60 60
V4 59 60 60 60 60
V5 60 60 60 60 60
V6 60 60 60 60 60
Table 3. Results of Measurement of Heart Rate (BPM) with a Standard Phantom 120 BPM
Set Media Personal Computer (BPM) Average % Relative Error SD Uncertainty (UA)
Lead 1 119 120 120 120 120
Lead 2 120 120 120 120 120
Lead 3 120 120 120 120 120
Lead AVR 119 120 120 120 120
Lead AVL 120 120 120 120 120
Lead AVF 120 120 120 120 120 119.96667 0.02778% 0,18102 0,02356
V1 120 120 120 120 120
V2 120 120 120 120 120
V3 120 120 120 120 120
V4 120 120 120 120 120
V5 120 120 120 120 120
V6 120 120 120 120 120
Table 4. Measurement Sensitivity for ECG
Setting Sensitivity
(mV)
Output ECG
(mm)
Measurement (mm) Average SD (%)
Error
Toleransi UA
1 2 3 4 5
0.5 5 5 5 5 5 5 5 0 0 0
1 10 10 10 10 10 10 10 0 0 0
2 20 20 20 20 19 20 19.8 0.45 1 ±5% 0.22
Average Error 0.33
5. TELKOMNIKA ISSN: 1693-6930
A low-cost electro-cardiographmachine equipped with sensitivity... (Bambang Guruh Irianto)
1279
3.1.2. Sensitivity
The sensitivity was designed by using the three of the non-inverting amplifier with
precision gain. In order to obtain high sensitivity, each gain of the amplifier was tuned using a
multiturn potentiometer. The display of the ECG signal was also calibrated in the programming
stage by using a constant calibration to obtain the best performance of the ECG reading. Table
4 shows the result of equipment test with standard ECG phantom (Fluke type MPS
450 Multiparameter Simulator Biomedical) as a comparison tool, for sensitivity parameter with
standard output ECG (0,5 mV, 1 mV, and 2 mV), the % Relative error (% Error): 0, 0, and 1 and
Uncertainty (Ua): 0,0, and 0.22.
3.1.3. Motor Speed
In a certain condition, the ECG machine can read a normal and abnormal heart rate of the
ECG signal. This rate is related with the speed of the display of the ECG signal on the paper. In
this case, the paper was replaced with the monitor display. In order to fulfill the requirement, the
reading of the ECG signal was divided into two selection which are 25 and 50 mm/seconds. That
speedwere obtained by using the two of the difference sampling rate. Table 5 shows the result of
equipment test with standard ECG phantom (Fluke type MPS 450 Multiparameter Simulator
Biomedical) as a comparison tool, for motor speed parameter with standard paper speed
25 mm/sec and 50 mm/sec is % Relative error (% Error): 0 and 0 and Uncertainty (Ua): 0 and 0.
Table 5. Measurement Paper Speed ECG with Speed of 25 mm/sec and 50 mm/sec
Setting Paper
speed (mm/s)
Measurement (mm/s)
Average SD
(%) Relative
Error
Toleransi UA
1 2 3 4 5
25 25 25 25 25 25 25 0 0
±2%
0
50 50 50 50 50 50 50 0 0 0
Average error 0
3.1.4. R Wave Amplitude
Table 6 and Figure 2 shows the result of an equipment test with standard ECG phantom
(Fluke type MPS 450 Multiparameter Simulator Biomedical) as a comparison tool, for heart
signal parameter with standard ECG signal. The % Relative error (% Error): 0,0 and 1 and
Uncertainty (Ua): 0, 0, 0.22.
Table 6. The R Wave Amplitude Measurement on an ECG Module
Setmedia R wave measurement. ECG Standard
LEAD I II III IV V Standard
Lead 1 13 13 13 13 13 13
Lead 2 20 20 20 20 20 20
Lead 3 5 5 5 5 5 5
Lead AVR 15 15 15 15 15 15
Lead AVL 3 3 3 3 3 3
Lead AVF 12 12 12 12 12 12
Lead V1 4 4 4 4 4 4
Lead V2 8 8 8 9 8 8
Lead V3 18 18 18 18 18 18
Lead V4 22 22 22 22 22 22
Lead V5 22 22 22 22 22 22
Lead V6 15 15 15.05 15 15 15
3.2. Discussion
The result of this research is a low-cost ECG machine equipped with sensitivity and paper
speed adjustment. The ECG machine worked as follows: Input ECG signal from phantom or
human will be recorded by using disposable electrodes (Ag/AgCl). The output of the leads will
be entered into a series of passive low pass filter (10l2.6 Hz) by entering a 10K ohm resistance
value,and the value of the capacitor 10pF then cut off frequency of the low pass filter circuit
shown in Figure 3 is 312 KHz. The output of the low pass filter will enter the buffer circuit, in
order to buffer the amplitude of the ECG signal.
The buffer amplifier consists of 12 buffers mounted on each lead. The output of the
buffer circuit will be entered into a multiplexer circuit. The multiplexer circuit functions as a
6. ISSN: 1693-6930
TELKOMNIKA Vol. 17, No. 3, June 2019: 1275-1281
1280
switch option, where from 12 leads will come out as signal output in accordance withaselector
switch selection, while the output of the multiplexer will enter Bioamplifier circuit will go into the
ATMEGA microcontroller to be processed,and the results are displayed on a computer.
ATMEGA Microcontroller will be processed by the application program Delphi. High filter
passive circuit will produce a cut-off frequency of 0.0498Hz. The output of the filter circuit will be
forwarded to the non-inverting amplifier shown in Figure 4. The gain of 1002 times then the
signal will be filtered by low pass filter having a cut-off frequency of 312KHz forwarded by
non-inverting amplifier circuit with a gain of 1002 times.
-
+
Vin Vout
R2
R1R1
C1
C1
Figure 3. The low pass filter circuit -40 dB [24]
-
+Vin
Vout
R2aR2b
R1
Figure 4. The non-inverting amplifier [24]
The output of the non-inverting amplifier will be filtered by low pass active filter -40 dB.
Cut off frequency of low pass active filter circuit is -40 dB is 102.6 Hz. The output of the ECG
amplifier is connected to the other circuit which is an ATMEGA Microcontroller. In ATMEGA
Microcontroller, it will be processed by the Delphi program application. Delphi program
application is a programming language that uses the same visualization, i.e., Visual Basic (VB)
programming languages. However, Delphi uses similar language to Pascal (often called pascal
object) that makes it easier to use programming languages. Delphi programming language is
developed by Code Gear as a software development division belonging to Embarcadero.
The division originally belongs to Borland, so that this language has a version of Borland Delphi.
The data that will be analyzed are shown in Table 1 to Table 4, i.e. to analyze whether the Heart
Rate resulted from the design of the ECG module is fit for use or not. Then the researchers
compare the results of measurements with manual calculations of the distance between wave
R1 to R2 to note that the speed of 50 mm / min or phantom, the formula:
𝐻𝑒𝑎𝑟𝑡 𝑅𝑎𝑡𝑒 (𝐵𝑃𝑀) =
1500
𝑁𝑢𝑚𝑏𝑒𝑟 𝑜𝑓 𝑠𝑚𝑎𝑙𝑙 𝑏𝑜𝑥
(1)
The result of the measurement data and phantom by using statistical calculations are:
The % error and uncertainty of 30 BPM are 0.243 % and 0.032, respectively. The % error and
uncertainty of 60 BPM are 0.056 % and 0.024, respectively. The % error and uncertainty of 120
BPM are 0.243 % and 0.032, respectively. The % error of sensitivity for 0.5, 1, and 2 mV are:
0.000 %, 0.000 % and 1.000%, respectively and the uncertainty (Ua) are: 0.0, 0.0, and 0.22,
respectively. The % error of paper speed 25 mm/sec and 50 mm/sec are: 0.000% and 0.000%
and the uncertainty (Ua) are 0.000 and 0.000. The % error of R wave for all lead (lead I, II, III,
AVR, AVF, AVL, V1, V2, V3, V4, and V5) is 0.000% and Ua: 0.000, and V6 has % Error of 8 %
and Ua: 0,134. The % error and uncertainty shows that it still below than 10%, therefore the
development of this study is feasible to use. In this study, we are a focus on to develop a
low-cost ECG machine using analog filters. Nevertheless, in the next work, a standard digital
filter (FIR and IIR) [25] and also Kalman filter [26] could be used to improve the ECG signal.
4. Conclusion
In this study, a low-cost ECG machine had been built with high performance in reading
of the ECG signal. The main contributions of this study were that the ECG machine was
completed with sensitivity and paper speed option to cover on bradycardia or tachycardia
7. TELKOMNIKA ISSN: 1693-6930
A low-cost electro-cardiographmachine equipped with sensitivity... (Bambang Guruh Irianto)
1281
condition. The ECG machine was calibrated using a standard ECG phantom. The results
showed that the performance of the ECG machine in the reading of the ECG signal from
phantom and human was feasible to be used in diagnostic purposes.In the future, an automatic
diagnostic tool can be proposed in order to classify the normality or abnormality of the ECG
signal such as bradycardia and tachycardia.
References
[1] Carr JM, Brown JJ. Introduction Biomedical equipment technology. New Jersey: Prentice Hall. 2001.
[2] Cameron RG-JR, Skofronick JG. Medical Physics. Medical Physics Publishing Corporation. 1992.
[3] Hammad M, Maher A, Wang K, Jiang F, Amrani M. Detection of abnormal heart conditions based on
characteristics of ECG signals. Measurement. 2018; 125: 634-44.
[4] Berkaya SK, Uysal AK, Gunal ES, Ergin S, Gunal S, Gulmezoglu MB. A survey on ECG analysis.
Biomedical Signal Processing and Control. 2018; 43: 216-235.
[5] Singh R, Murphy JJ. Electrocardiogram and arrhythmias. Anaesth. Intensive Care Med. 2018; 19(6):
322–325.
[6] Aston R. Principles of Biomedical Instrumentation and measurement. Ohio: merril publishing
company. 1990.
[7] Yang G, Cai X, Wang F, Cui S. Research of portable ECG Monitoring Device. Lect. Notes Electr. Eng.
2011; 121 LNEE: 213–220.
[8] Tan-Hsu. Development of a Portable Linux-Based ECG Measurement and Monitoring System. J. Med.
Syst. 2011; 35(4): 559–569.
[9] J Jie Sun. Design of the intelegent simple Electrocardiograph. Adv. Intell. Soft Comput. 2012; 129:
157–162.
[10] Choudhari V, Dandge V, Choudhary N, Sutar RG. A portable and low-cost 12-lead ECG device for
sustainable remote healthcare. 2018 International Conference on Communication information and
Computing Technology (ICCICT). 2018: 1-6.
[11] Watts MP, Shoat DB. Trends in electrocardiograph design. Journal of the Institution of Electronic and
Radio Engineers. 1987; 57(4): 140-50.
[12] AS Mohamad, HM Noor. Development of smart ECG machine using LabVIEW for biomedical
engineering students. Engineering Technology and Technopreneuship (ICE2T), 2014 4th International
Conference. 2014: 320–323.
[13] S Setiawidayat, D Sargowo, SP Sakti, S Andarini. The peak of the PQRST and the trajectory path of
each cycle of the ECG 12-lead wave. Indonesian Journal of Electrical Engineering and Computer
Science. 2016; 4(1): 169–175.
[14] Varon C, Caicedo A, Testelmans D, Buyse B, Van Huffel S. A novel algorithm for the automatic
detection of sleep apnea from single-lead ECG. IEEE Transactions on Biomedical Engineering. 2015;
9294(c): 1–10.
[15] Rahman NAA, Jambek AB. Biomedical health monitoring system design and analysis. Indonesian
Journal of Electrical Engineering and Computer Science. 2019; 13(3): 1056–1064.
[16] Hassan AR, Bashar SK, Bhuiyan MIH. Computerized obstructive sleep apnea diagnosis from
single-lead ECG signals using dual-tree complex wavelet transform. 2017 IEEE Region 10
Humanitarian Technology Conference (R10-HTC). 2017: 21–23.
[17] Lakshmi PS, Raju VL. ECG de-noising using hybrid linearization method. Telkomnika Indonesian
Journal of Electrical Engineering. 2015; 15(3): 504-508.
[18] GD Gargiulo. True Unipolar ECG Machine for Wilson Central Terminal Measurements. Biomed Res.
Int. 2015.
[19] Jaber Al- Ziarjiwey`. Heart rate monitoring and pqrst detection based on graphical user interface with
MATLAB. International Journal of Information and Electronics Engineering. 2015; 5(4): 311-316.
[20] Kao SD. Microprocessor based physiological signal monitoring and recording Sytem for ambulatory
subjects. Med. Biol. Eng. Comput. 1995; 33(6):830-834.
[21] Pramod MP. Adaptive Denoising of Impulse Noise with Enhanced Edge Preservation. International
Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering. 2014; 3(4):
9120–9126.
[22] Irianto BG. Design of Electro Cardiograph Machine Based on ATmega Microcontroller. Indonesian
Journal of Electrical Engineering and Computer Science. 2016; 2(2): 328-333.
[23] CR Kothari. Research methodology: Methods and techniques. New Age International. 2004.
[24] B Carter. A Single-Supply Op-Amp Circuit Collection. Texas Instruments. 2000: 1–27.
[25] T Triwiyanto, O Wahyunggoro, HA Nugroho, Herianto. An investigation into time domain features of
surface electromyography to estimate the elbow joint angle. Adv. Electr. Electron. Eng. 2017; 15(3):
448–458.
[26] T Triwiyanto, O Wahyunggoro, HA Nugroho, H Herianto. Evaluating the performance of Kalman filter
on elbow joint angle prediction based on electromyography. Int. J. Precis. Eng. Manuf. 2017; 18(12):
1739–1748.