Remote ECG interpretation consultancy services provide expert analysis of electrocardiograms (ECGs) to support clinical decision-making without requiring patients to travel to hospitals. They offer interpretation of 12-lead ECGs, Holter monitors, and event monitors within 24 hours or less. Studies show these services may reduce unnecessary referrals to secondary care and healthcare costs by accurately diagnosing up to 65% of cases remotely. However, long-term clinical outcomes and full economic impacts require further evidence.
The document describes a portable device developed for real-time ECG signal analysis and detection of cardiac diseases like atrial fibrillation and myocardial ischemia. The device uses an ARM processor and simplified analog front-end to process ECG signals in real-time. Features are extracted from preprocessed ECG data and a support vector machine classifier detects cardiac diseases with 95.1% sensitivity and 95.5% specificity. The portable device allows for continuous monitoring and early detection of cardiac issues.
This document describes the development of a low-cost and portable ECG monitoring system for rural areas of Bangladesh. It proposes a complete solution for ECG monitoring from signal recording to report generation. The system uses inexpensive hardware including electrodes, voltage regulators, an instrumentation amplifier, filter, and clamper circuit interfaced with an Arduino and laptop. ECG signals are recorded, digitally filtered in MATLAB to remove noise, and analyzed to calculate diagnostic parameters. Real-time monitoring is also possible. Such an affordable portable system could improve cardiac healthcare access in remote areas.
1. Researchers developed a portable ECG device using dry capacitive electrodes and a driven right leg circuit to reject common-mode interference.
2. Simulation and testing of the electronic interface showed high input impedance, suitable common-mode rejection, and readable P, QRS, and T waves.
3. The developed device uses an ESP32 microcontroller to digitize and wirelessly transmit ECG signals, demonstrating the potential for multi-lead wearable ECG monitoring.
This document describes the development of a low-cost and portable ECG monitoring system for rural/remote areas of Bangladesh. An ECG circuit was designed using inexpensive components like electrodes, voltage regulators, an instrumentation amplifier, low-pass filter, and clamper. The ECG signal was interfaced with an Arduino and sent to a PC/laptop for real-time monitoring and offline analysis using MATLAB. Digital signal processing techniques like filtering were used to remove noise from the ECG signal. An algorithm was then used to detect heartbeats and calculate diagnostic parameters from the ECG recording. The goal is to provide a complete low-cost solution for ECG monitoring and generation of patient reports that can help diagnose cardiac conditions in
Secure Transmission of Patient Physiological Information in Point of Care SystemIJTET Journal
Abstract: With an increase in the population of aged people with health issues, nowadays the significance of ECG based remote patient monitoring system as a point of care (PoC) application in the hospitals is getting increased. Patient ECG signal and other physiological information like body temperature, blood pressure, and glucose level, etc., collected by the body sensor networks will be transmitted to the central hospital servers. After processing this information, the system sends the alerts to the doctors if any abnormal condition arises. The major problem with this scenario is, the confidentiality of these information must be potted while the transmission over public channel and storing in the hospital servers. In this paper, an ECG steganography based cryptographic technique is proposed to preserve the confidentiality of the information. The proposed algorithm conceals the encrypted patients’ information in the ECG signal without affecting the quality of that signal. It uses the cryptography and ECG steganography techniques to preserve the confidentiality of the patients’ information. The effectiveness of the proposed algorithm is evaluated by comparing with the existing algorithms. It is proved that the proposed algorithm is more secure with high processing speed and low distortion of data and host ECG signal.
This document describes a portable wearable tele ECG monitoring system. The system uses textile electrodes that are comfortable for long-term wear and can reliably detect ECG signals. The signals are transmitted via Bluetooth to a smartphone, then to a server. This allows a patient's physician to monitor the ECG and heart rate in real-time from the web. If values exceed normal ranges or a help button is pressed, the physician is alerted. The system is intended to improve patient quality of life through remote psychological reassurance of their condition.
An electrocardiogram (ECG or EKG) is a test that records the electrical activity of the heart. It does this by detecting tiny voltage changes on the skin caused by the heart muscle during each heartbeat. A standard 12-lead ECG involves placing 10 electrodes on the patient's limbs and chest to record 12 different electrical signals that provide different views of the heart. The ECG can help diagnose abnormal heart rhythms and detect signs of damage to heart muscle.
An Integrated Approach of Blood Pressure and Heart Rate Measurement SystemsIRJET Journal
This document describes a new integrated device that can measure both blood pressure and heart rate through the wrist and fingertip using a single device. The device uses infrared sensors placed on the wrist and fingertip to detect blood flow and pulses. It counts the pulses to determine the heart rate and blood pressure. The measurements from this new device were compared to manual measurements on 100 subjects, and it was found to have a negligible error rate. The goal was to create an affordable, easy-to-use device that could help both literate and illiterate people regularly monitor their vital signs without visiting a doctor.
The document describes a portable device developed for real-time ECG signal analysis and detection of cardiac diseases like atrial fibrillation and myocardial ischemia. The device uses an ARM processor and simplified analog front-end to process ECG signals in real-time. Features are extracted from preprocessed ECG data and a support vector machine classifier detects cardiac diseases with 95.1% sensitivity and 95.5% specificity. The portable device allows for continuous monitoring and early detection of cardiac issues.
This document describes the development of a low-cost and portable ECG monitoring system for rural areas of Bangladesh. It proposes a complete solution for ECG monitoring from signal recording to report generation. The system uses inexpensive hardware including electrodes, voltage regulators, an instrumentation amplifier, filter, and clamper circuit interfaced with an Arduino and laptop. ECG signals are recorded, digitally filtered in MATLAB to remove noise, and analyzed to calculate diagnostic parameters. Real-time monitoring is also possible. Such an affordable portable system could improve cardiac healthcare access in remote areas.
1. Researchers developed a portable ECG device using dry capacitive electrodes and a driven right leg circuit to reject common-mode interference.
2. Simulation and testing of the electronic interface showed high input impedance, suitable common-mode rejection, and readable P, QRS, and T waves.
3. The developed device uses an ESP32 microcontroller to digitize and wirelessly transmit ECG signals, demonstrating the potential for multi-lead wearable ECG monitoring.
This document describes the development of a low-cost and portable ECG monitoring system for rural/remote areas of Bangladesh. An ECG circuit was designed using inexpensive components like electrodes, voltage regulators, an instrumentation amplifier, low-pass filter, and clamper. The ECG signal was interfaced with an Arduino and sent to a PC/laptop for real-time monitoring and offline analysis using MATLAB. Digital signal processing techniques like filtering were used to remove noise from the ECG signal. An algorithm was then used to detect heartbeats and calculate diagnostic parameters from the ECG recording. The goal is to provide a complete low-cost solution for ECG monitoring and generation of patient reports that can help diagnose cardiac conditions in
Secure Transmission of Patient Physiological Information in Point of Care SystemIJTET Journal
Abstract: With an increase in the population of aged people with health issues, nowadays the significance of ECG based remote patient monitoring system as a point of care (PoC) application in the hospitals is getting increased. Patient ECG signal and other physiological information like body temperature, blood pressure, and glucose level, etc., collected by the body sensor networks will be transmitted to the central hospital servers. After processing this information, the system sends the alerts to the doctors if any abnormal condition arises. The major problem with this scenario is, the confidentiality of these information must be potted while the transmission over public channel and storing in the hospital servers. In this paper, an ECG steganography based cryptographic technique is proposed to preserve the confidentiality of the information. The proposed algorithm conceals the encrypted patients’ information in the ECG signal without affecting the quality of that signal. It uses the cryptography and ECG steganography techniques to preserve the confidentiality of the patients’ information. The effectiveness of the proposed algorithm is evaluated by comparing with the existing algorithms. It is proved that the proposed algorithm is more secure with high processing speed and low distortion of data and host ECG signal.
This document describes a portable wearable tele ECG monitoring system. The system uses textile electrodes that are comfortable for long-term wear and can reliably detect ECG signals. The signals are transmitted via Bluetooth to a smartphone, then to a server. This allows a patient's physician to monitor the ECG and heart rate in real-time from the web. If values exceed normal ranges or a help button is pressed, the physician is alerted. The system is intended to improve patient quality of life through remote psychological reassurance of their condition.
An electrocardiogram (ECG or EKG) is a test that records the electrical activity of the heart. It does this by detecting tiny voltage changes on the skin caused by the heart muscle during each heartbeat. A standard 12-lead ECG involves placing 10 electrodes on the patient's limbs and chest to record 12 different electrical signals that provide different views of the heart. The ECG can help diagnose abnormal heart rhythms and detect signs of damage to heart muscle.
An Integrated Approach of Blood Pressure and Heart Rate Measurement SystemsIRJET Journal
This document describes a new integrated device that can measure both blood pressure and heart rate through the wrist and fingertip using a single device. The device uses infrared sensors placed on the wrist and fingertip to detect blood flow and pulses. It counts the pulses to determine the heart rate and blood pressure. The measurements from this new device were compared to manual measurements on 100 subjects, and it was found to have a negligible error rate. The goal was to create an affordable, easy-to-use device that could help both literate and illiterate people regularly monitor their vital signs without visiting a doctor.
A portable electrocardiogram for real‑time monitoring of cardiacArhamSheikh1
This document presents a portable electrocardiogram (ECG) system for real-time cardiac monitoring. The system consists of three main units: 1) a data acquisition circuit that detects ECG signals using electrodes and amplifies/filters the signals, 2) a data processing unit with a microcontroller that converts the analog signals to digital and transmits them wirelessly using ZigBee, and 3) a graphical user interface (GUI) unit that displays the ECG signals on a computer in real-time using LabVIEW or MATLAB. Testing showed the hardware and software operated correctly to produce distortion-free ECG signals in real-time on the GUI. However, the system could be improved by adding the ability to differentiate
This document discusses launching a medical device and provides an overview of the FDA approval process. It covers the Medical Device Amendments of 1976 that established three regulatory device classes. It also discusses the 510(k) and Premarket Approval (PMA) processes, including required clinical trials for PMA. Relevant anatomy, cardiac devices like pacemakers and ICDs, and regulatory standards are reviewed.
The research of_portable_ecg_monitoring_system_with_usb_host_interfaceArhamSheikh1
This document describes a portable ECG monitoring system with a USB host interface. The system uses a microprocessor and USB host interface chip to collect and store ECG signals. It has a circuit to acquire high-quality ECG data and amplify low ECG voltages. Software implements USB protocols to recognize and configure USB drives, identify file systems, and write collected ECG data to the drive in real-time using bulk transfer methods. The portable design with a USB host allows connection to additional modules as needed.
Cardiac Monitoring Services offers Holter devices and event monitors to detect heart abnormalities. A Holter device records heartbeats over days or weeks to diagnose issues, while event monitors are worn for weeks or months by patients whose symptoms are infrequent, recording heart activity when activated by the patient. Both devices transmit data to medical professionals for analysis to diagnose cardiac problems.
Evaluation of patient electrocardiogram datasets using signal quality indexingjournalBEEI
Electrocardiogram (ECG) is widely used in the hospital emergency rooms for detecting vital signs, such as heart rate variability and respiratory rate. However, the quality of the ECGs is inconsistent. ECG signals lose information because of noise resulting from motion artifacts. To obtain an accurate information from ECG, signal quality indexing (SQI) is used where acceptable thresholds are set in order to select or eliminate the signals for the subsequent information extraction process. A good evaluation of SQI depends on the R-peak detection quality. Nevertheless, most R-peak detectors in the literature are prone to noise. This paper assessed and compared five peak detectors from different resources. The two best peak detectors were further tested using MIT-BIH arrhythmia database and then used for SQI evaluation. These peak detectors robustly detected the R-peak for signals that include noise. Finally, the overall SQI of three patient datasets, namely, Fantasia, CapnoBase, and MIMIC-II, was conducted by providing the interquartile range (IQR) and median SQI of the signals as the outputs. The evaluation results revealed that the R-peak detectors developed by Clifford and Behar showed accuracies of 98% and 97%, respectively. By introducing SQI and choosing only high-quality ECG signals, more accurate vital sign information will be achieved.
Biotelemetry is the measurement and transmission of biological parameters such as heart rate, blood pressure, and body temperature from a distance. It allows for monitoring of things like astronauts in space, patients during exercise or in ambulances, and collecting medical data from homes or offices. It also enables research on unrestrained animals in their natural habitats. Biotelemetry systems consist of components like amplifiers, oscillators, power supplies, analog-to-digital converters, digital-to-analog converters, transducers, and processors to adapt existing measurement methods to transmit the resulting data.
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.
Integrating all the devices into one which costs around 2000/- and making it available for poor people. Done it under the guidance of IITM Ph.D scholar Balamurugan.
Cardiac Monitoring Services has helped physicians for 20 years by receiving and analyzing patient cardiac data collected from Holter and event monitors. A Holter monitor is a small wearable device worn on the chest for 1 to 7 days after an inconclusive EKG, continuously recording a patient's heartbeat to help cardiologists identify irregularities in heart rhythm over time.
Vitagroup is a multinational telemedicine company operating across Europe, North America, Asia, Africa and the Middle East. It provides telemedicine services including remote monitoring of devices like pacemakers and ICDs, online patient education resources, and a telemedical service center for data processing and monitoring. Telemedicine helps improve healthcare quality and outcomes while reducing costs by enabling remote care, early intervention, and better management of chronic conditions. Vitagroup aims to address issues like medication non-compliance and errors through its digital telehealth platforms and electronic patient records.
IRJET- Congestive Heart Failure Recognition by Analyzing The ECG Signals usi...IRJET Journal
This document summarizes a study that analyzed ECG signals to recognize congestive heart failure using wavelet coefficients. ECG data from 20 different disease cases were collected and filtered to remove noise. A wavelet transform was applied to obtain wavelet coefficients, which were used to estimate cardiac diseases from the 3D wavelet plot. The zero crossing algorithm was also used to calculate heart rate from the number of zero crossings in the ECG signal. Results found that wavelet coefficients and 3D plots provided useful information for analyzing ECG signals and recognizing different heart conditions and diseases.
IRJET- Cardiovascular Disease Prediction using Machine Learning TechniquesIRJET Journal
This document discusses predicting cardiovascular disease using machine learning techniques. It begins with an introduction stating that cardiovascular disease is a leading cause of death and that predictive modeling using machine learning can help mitigate this situation. It then reviews literature on previous studies applying machine learning techniques like random forest classifiers, K-nearest neighbors, and neural networks to cardiovascular disease prediction. The document proposes using a random forest classifier on a cardiovascular disease dataset to classify patients' risk in 4 stages with an accuracy of 97.56%. It describes preprocessing the dataset, training a random forest model on 75% of the data and testing it on the remaining 25%. In summary, the document reviews previous work applying machine learning to cardiovascular disease prediction and proposes classifying patients' risk into 4
The document discusses the Vitaphone Tele-ECG-System for recording cardiac events in patients with arrhythmias. It allows for [1] timely recording of symptomatic arrhythmias, [2] wireless transmission of ECG data, and [3] transparent reporting to physicians. Analysis of ECGs through the system enables [1] conclusive diagnosis within days and [2] effective treatment, while also providing [3] patient reassurance and support.
This document provides an overview of a project to develop a biomedical wireless sensor network. The network will acquire electrocardiogram (ECG) signals from patients, analyze the signals to detect any abnormalities, and wirelessly transmit abnormal signals to a doctor. The system aims to help monitor heart health for elderly patients. It will use an ATmega32 microcontroller and XBee technology for wireless transmission. The document discusses ECG signals, electrodes, amplifiers, filters, and other relevant technology. It also covers project planning, requirements analysis, system design, implementation, and testing. The overall goal is to create a wearable device that can detect potential heart issues and alert doctors when needed.
AR-based Method for ECG Classification and Patient RecognitionCSCJournals
The electrocardiogram (ECG) is the recording of heart activity obtained by measuring the signals from electrical contacts placed on the skin of the patient. By analyzing ECG, it is possible to detect the rate and consistency of heartbeats and identify possible irregularities in heart operation. This paper describes a set of techniques employed to pre-process the ECG signals and extract a set of features – autoregressive (AR) signal parameters used to characterise ECG signal. Extracted parameters are in this work used to accomplish two tasks. Firstly, AR features belonging to each ECG signal are classified in groups corresponding to three different heart conditions – normal, arrhythmia and ventricular arrhythmia. Obtained classification results indicate accurate, zero-error classification of patients according to their heart condition using the proposed method. Sets of extracted AR coefficients are then extended by adding an additional parameter – power of AR modelling error and a suitability of developed technique for individual patient identification is investigated. Individual feature sets for each group of detected QRS sections are classified in p clusters where p represents the number of patients in each group. Developed system has been tested using ECG signals available in MIT/BIH and Politecnico of Milano VCG/ECG database. Achieved recognition rates indicate that patient identification using ECG signals could be considered as a possible approach in some applications using the system developed in this work. Pre-processing stages, applied parameter extraction techniques and some intermediate and final classification results are described and presented in this paper.
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.
This document discusses various implantable cardiac devices including pacemakers, implantable cardioverter-defibrillators (ICDs), cardiac resynchronization therapy (CRT), and cardiac assist devices. It describes the components, indications, and complications of pacemakers and ICDs. It also covers topics such as pacemaker/ICD terminology, programming, interactions with defibrillation, and transcutaneous pacing. Cardiac assist devices are briefly discussed, noting examples like LVADs, BiVADs, and total artificial hearts.
Accurate clinical documentation is critical, especially during emergency situation. This article gives a detailed view on best documentation practices for pacemaker care and the use of ECG monitoring.
Final Project Slides Buchheit Harings HusseinScott Buchheit
The document describes a cardiovascular monitoring system (CMS) that measures blood pressure, heart rate, and blood oxygen levels. It operates by using light sensors on the finger to non-invasively measure these vital signs. The data is wirelessly transmitted to a base monitor and can be viewed or programmed by a physician using software. The CMS is intended for at-home patient monitoring under a doctor's supervision. It functions similarly to previously cleared predicate devices and a comparison table shows the CMS has substantially equivalent intended use, technological characteristics, and accuracy to predicates.
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.
This document discusses a system for classifying and compressing cardiac vascular diseases using soft computing techniques to enhance rural healthcare. ECG signals are collected from patients and features are extracted from the signals using discrete wavelet transform. The features are classified using an adaptive neuro-fuzzy inference system to identify normal signals or one of four abnormal conditions. Signals classified as critical are compressed using Huffman coding and sent to a hospital server for treatment, while mild cases are advised to see a cardiologist. The system aims to help identify heart conditions early to save lives in rural areas with limited access to healthcare.
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.
A portable electrocardiogram for real‑time monitoring of cardiacArhamSheikh1
This document presents a portable electrocardiogram (ECG) system for real-time cardiac monitoring. The system consists of three main units: 1) a data acquisition circuit that detects ECG signals using electrodes and amplifies/filters the signals, 2) a data processing unit with a microcontroller that converts the analog signals to digital and transmits them wirelessly using ZigBee, and 3) a graphical user interface (GUI) unit that displays the ECG signals on a computer in real-time using LabVIEW or MATLAB. Testing showed the hardware and software operated correctly to produce distortion-free ECG signals in real-time on the GUI. However, the system could be improved by adding the ability to differentiate
This document discusses launching a medical device and provides an overview of the FDA approval process. It covers the Medical Device Amendments of 1976 that established three regulatory device classes. It also discusses the 510(k) and Premarket Approval (PMA) processes, including required clinical trials for PMA. Relevant anatomy, cardiac devices like pacemakers and ICDs, and regulatory standards are reviewed.
The research of_portable_ecg_monitoring_system_with_usb_host_interfaceArhamSheikh1
This document describes a portable ECG monitoring system with a USB host interface. The system uses a microprocessor and USB host interface chip to collect and store ECG signals. It has a circuit to acquire high-quality ECG data and amplify low ECG voltages. Software implements USB protocols to recognize and configure USB drives, identify file systems, and write collected ECG data to the drive in real-time using bulk transfer methods. The portable design with a USB host allows connection to additional modules as needed.
Cardiac Monitoring Services offers Holter devices and event monitors to detect heart abnormalities. A Holter device records heartbeats over days or weeks to diagnose issues, while event monitors are worn for weeks or months by patients whose symptoms are infrequent, recording heart activity when activated by the patient. Both devices transmit data to medical professionals for analysis to diagnose cardiac problems.
Evaluation of patient electrocardiogram datasets using signal quality indexingjournalBEEI
Electrocardiogram (ECG) is widely used in the hospital emergency rooms for detecting vital signs, such as heart rate variability and respiratory rate. However, the quality of the ECGs is inconsistent. ECG signals lose information because of noise resulting from motion artifacts. To obtain an accurate information from ECG, signal quality indexing (SQI) is used where acceptable thresholds are set in order to select or eliminate the signals for the subsequent information extraction process. A good evaluation of SQI depends on the R-peak detection quality. Nevertheless, most R-peak detectors in the literature are prone to noise. This paper assessed and compared five peak detectors from different resources. The two best peak detectors were further tested using MIT-BIH arrhythmia database and then used for SQI evaluation. These peak detectors robustly detected the R-peak for signals that include noise. Finally, the overall SQI of three patient datasets, namely, Fantasia, CapnoBase, and MIMIC-II, was conducted by providing the interquartile range (IQR) and median SQI of the signals as the outputs. The evaluation results revealed that the R-peak detectors developed by Clifford and Behar showed accuracies of 98% and 97%, respectively. By introducing SQI and choosing only high-quality ECG signals, more accurate vital sign information will be achieved.
Biotelemetry is the measurement and transmission of biological parameters such as heart rate, blood pressure, and body temperature from a distance. It allows for monitoring of things like astronauts in space, patients during exercise or in ambulances, and collecting medical data from homes or offices. It also enables research on unrestrained animals in their natural habitats. Biotelemetry systems consist of components like amplifiers, oscillators, power supplies, analog-to-digital converters, digital-to-analog converters, transducers, and processors to adapt existing measurement methods to transmit the resulting data.
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.
Integrating all the devices into one which costs around 2000/- and making it available for poor people. Done it under the guidance of IITM Ph.D scholar Balamurugan.
Cardiac Monitoring Services has helped physicians for 20 years by receiving and analyzing patient cardiac data collected from Holter and event monitors. A Holter monitor is a small wearable device worn on the chest for 1 to 7 days after an inconclusive EKG, continuously recording a patient's heartbeat to help cardiologists identify irregularities in heart rhythm over time.
Vitagroup is a multinational telemedicine company operating across Europe, North America, Asia, Africa and the Middle East. It provides telemedicine services including remote monitoring of devices like pacemakers and ICDs, online patient education resources, and a telemedical service center for data processing and monitoring. Telemedicine helps improve healthcare quality and outcomes while reducing costs by enabling remote care, early intervention, and better management of chronic conditions. Vitagroup aims to address issues like medication non-compliance and errors through its digital telehealth platforms and electronic patient records.
IRJET- Congestive Heart Failure Recognition by Analyzing The ECG Signals usi...IRJET Journal
This document summarizes a study that analyzed ECG signals to recognize congestive heart failure using wavelet coefficients. ECG data from 20 different disease cases were collected and filtered to remove noise. A wavelet transform was applied to obtain wavelet coefficients, which were used to estimate cardiac diseases from the 3D wavelet plot. The zero crossing algorithm was also used to calculate heart rate from the number of zero crossings in the ECG signal. Results found that wavelet coefficients and 3D plots provided useful information for analyzing ECG signals and recognizing different heart conditions and diseases.
IRJET- Cardiovascular Disease Prediction using Machine Learning TechniquesIRJET Journal
This document discusses predicting cardiovascular disease using machine learning techniques. It begins with an introduction stating that cardiovascular disease is a leading cause of death and that predictive modeling using machine learning can help mitigate this situation. It then reviews literature on previous studies applying machine learning techniques like random forest classifiers, K-nearest neighbors, and neural networks to cardiovascular disease prediction. The document proposes using a random forest classifier on a cardiovascular disease dataset to classify patients' risk in 4 stages with an accuracy of 97.56%. It describes preprocessing the dataset, training a random forest model on 75% of the data and testing it on the remaining 25%. In summary, the document reviews previous work applying machine learning to cardiovascular disease prediction and proposes classifying patients' risk into 4
The document discusses the Vitaphone Tele-ECG-System for recording cardiac events in patients with arrhythmias. It allows for [1] timely recording of symptomatic arrhythmias, [2] wireless transmission of ECG data, and [3] transparent reporting to physicians. Analysis of ECGs through the system enables [1] conclusive diagnosis within days and [2] effective treatment, while also providing [3] patient reassurance and support.
This document provides an overview of a project to develop a biomedical wireless sensor network. The network will acquire electrocardiogram (ECG) signals from patients, analyze the signals to detect any abnormalities, and wirelessly transmit abnormal signals to a doctor. The system aims to help monitor heart health for elderly patients. It will use an ATmega32 microcontroller and XBee technology for wireless transmission. The document discusses ECG signals, electrodes, amplifiers, filters, and other relevant technology. It also covers project planning, requirements analysis, system design, implementation, and testing. The overall goal is to create a wearable device that can detect potential heart issues and alert doctors when needed.
AR-based Method for ECG Classification and Patient RecognitionCSCJournals
The electrocardiogram (ECG) is the recording of heart activity obtained by measuring the signals from electrical contacts placed on the skin of the patient. By analyzing ECG, it is possible to detect the rate and consistency of heartbeats and identify possible irregularities in heart operation. This paper describes a set of techniques employed to pre-process the ECG signals and extract a set of features – autoregressive (AR) signal parameters used to characterise ECG signal. Extracted parameters are in this work used to accomplish two tasks. Firstly, AR features belonging to each ECG signal are classified in groups corresponding to three different heart conditions – normal, arrhythmia and ventricular arrhythmia. Obtained classification results indicate accurate, zero-error classification of patients according to their heart condition using the proposed method. Sets of extracted AR coefficients are then extended by adding an additional parameter – power of AR modelling error and a suitability of developed technique for individual patient identification is investigated. Individual feature sets for each group of detected QRS sections are classified in p clusters where p represents the number of patients in each group. Developed system has been tested using ECG signals available in MIT/BIH and Politecnico of Milano VCG/ECG database. Achieved recognition rates indicate that patient identification using ECG signals could be considered as a possible approach in some applications using the system developed in this work. Pre-processing stages, applied parameter extraction techniques and some intermediate and final classification results are described and presented in this paper.
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.
This document discusses various implantable cardiac devices including pacemakers, implantable cardioverter-defibrillators (ICDs), cardiac resynchronization therapy (CRT), and cardiac assist devices. It describes the components, indications, and complications of pacemakers and ICDs. It also covers topics such as pacemaker/ICD terminology, programming, interactions with defibrillation, and transcutaneous pacing. Cardiac assist devices are briefly discussed, noting examples like LVADs, BiVADs, and total artificial hearts.
Accurate clinical documentation is critical, especially during emergency situation. This article gives a detailed view on best documentation practices for pacemaker care and the use of ECG monitoring.
Final Project Slides Buchheit Harings HusseinScott Buchheit
The document describes a cardiovascular monitoring system (CMS) that measures blood pressure, heart rate, and blood oxygen levels. It operates by using light sensors on the finger to non-invasively measure these vital signs. The data is wirelessly transmitted to a base monitor and can be viewed or programmed by a physician using software. The CMS is intended for at-home patient monitoring under a doctor's supervision. It functions similarly to previously cleared predicate devices and a comparison table shows the CMS has substantially equivalent intended use, technological characteristics, and accuracy to predicates.
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.
This document discusses a system for classifying and compressing cardiac vascular diseases using soft computing techniques to enhance rural healthcare. ECG signals are collected from patients and features are extracted from the signals using discrete wavelet transform. The features are classified using an adaptive neuro-fuzzy inference system to identify normal signals or one of four abnormal conditions. Signals classified as critical are compressed using Huffman coding and sent to a hospital server for treatment, while mild cases are advised to see a cardiologist. The system aims to help identify heart conditions early to save lives in rural areas with limited access to healthcare.
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.
A Real Time Electrocardiogram (ECG) Device for Cardiac PatientsIJERD Editor
Now-a-days due to rising stress levels, change in lifestyles and a variety of different issues, the number of people suffering from heart related diseases is increasing. This number would significantly rise in the next few years. As the technology enhanced, a significant paradigm shift has been observed in the biomedical industry. To tackle the heart related issues, technology can be introduced in one’s life. This paper proposes a wireless, wearable ECG device capable of processing the patient’s ECG in a real time environment. It is capable of comparing the ECG with threshold parameters, and if ECG of the patient is not in the range of the threshold values, the device notifies the cardiac patient’s mobile phone by sending a Multimedia Messaging Service (MMS) of the changed ECG and, in turn the patient’s mobile phone sends this changed ECG image to the mobile phone present at the hospital.
The VectraplexECG System provides continuous, real-time monitoring of ECG changes suggestive of an acute myocardial infarction (AMI) using a novel Cardiac Electrical Biomarker (CEB) called VectraplexAMI. It requires only 5 electrodes versus the standard 12-lead ECG which uses 10 electrodes. The system analyzes cardiac electrical field data to generate a VectraplexAMI index number that is displayed in real-time, allowing for early detection of potential AMIs. This faster detection could allow for quicker treatment interventions compared to current protocols that rely on serial blood draws to detect cardiac marker changes.
The document provides instructions for storing, cleaning, maintaining, and disposing of a wearable product. Key details include:
- The product should be stored away from direct sunlight, extreme temperatures, dust, dampness, fires, electromagnetic fields, and vibrations.
- Clean the product surface with a dry lint-free cloth and do not use water. Clean electrodes with alcohol or disinfectants.
- Replace the battery if out of power or immersed in water for long periods. Replace damaged or expired electrodes. Seek help for mechanical damage.
- Dispose of the product according to local regulations after expiration, or recycle by returning to retailer or manufacturer.
Portable Real Time Cardiac Activity Monitoring SystemIRJET Journal
This document describes a portable real-time cardiac activity monitoring system. The system collects electrocardiogram (ECG) signals to examine heartbeats and detect abnormalities. It uses a sensor to detect heart activity signals, sends them wirelessly to a smartphone via Bluetooth, and stores the signals in a network. The system analyzes heart rate and variability in real-time on the sensor to conserve power by only sending a few parameters. It is intended to remotely monitor patients' cardiac health over long periods by continuously collecting and analyzing ECG signals.
Health Care Monitoring for the CVD Detection using Soft Computing Techniquesijfcstjournal
This document summarizes a research paper that proposes a system for remote healthcare monitoring of cardiovascular disease (CVD) using data mining techniques on compressed electrocardiogram (ECG) data. The system applies genetic algorithms for attribute selection and expectation-maximization clustering on compressed ECG data received from patient monitoring devices by a hospital server. This allows the server to generate classification constraints for different cardiac abnormalities. The patient's mobile phone then uses these constraints in a rule-based system to classify cardiac abnormalities in real-time directly from the compressed ECG data. When abnormalities are detected, emergency notifications can be automatically sent to the patient.
1. A new handheld ECG device has been developed to allow users to easily record their electrocardiogram (ECG) data anywhere and anytime without the help of medical technicians.
2. Clinical studies show the handheld ECG provides accurate ECG measurements and reliable wireless data transmission capabilities.
3. The handheld ECG can be used for clinical screening and health monitoring as part of a new telemedicine system, allowing physicians to remotely monitor patients' heart function.
In this stress filled life, so many people are suffering from cardiac diseases. Patients of cardiac ailments are required to admit in hospitals for cardiac treatment and hence require close observation. In today's era telemedicine has been proved boon for both doctors and patients. Now invention in this area have changed the old and traditional practices .Not even that but they can live at home instead of hospital and can get treatment for their cardiac ailment in case of emergency. In this thesis, I propose wireless telemetry system in which doctor can real time visualizes physiological parameters ECG and temperature of patient via GPRS/WI-FI on mobile anywhere in globe. In critical condition of the patient emergency call can be transmitted to the doctor and doctor can guide care taker person via phone for emergency treatment and can keep himself in touch whenever needed. In this thesis we also develop and design ECG application on the platform of Android.
Detection and Classification of ECG Arrhythmia using LSTM AutoencoderIRJET Journal
This document discusses a study that uses long short-term memory (LSTM) neural networks to detect and classify different types of arrhythmias from electrocardiogram (ECG) data. The study aims to develop a deep learning approach for classifying different types of arrhythmias in an ECG that is simple, reliable and easy to use. The proposed method achieved a high accuracy rate of 97% in classifying ECG beats into different arrhythmia categories using the MIT-BIH Arrhythmia database. This automated arrhythmia detection system could help clinicians more quickly and accurately identify arrhythmias from ECG data.
Classification of cardiac vascular disease from ecg signals for enhancing mod...hiij
“Why to be in frustration we will do new creation f
or salvation”. Based on these words we grapes your
attention towards saving a life of a heart patient
with the use of ECG in Public Health Care Center by
transmitting ECG signals to nearby hospital server.
In this paper we analyze the abnormalities found i
n the
ECG signals by identifying the Normal, Bradycardia
Arrhythmia, Tachycardia Arrhythmia and Ischemia
signal using the method of Neuro Fuzzy Classifier.
Daubechies Wavelet Transforms is used for feature
extraction and Adaptive Neuro Fuzzy Inference Syste
m (ANFIS) is used for classification. The compressi
on
algorithm is performed by using Huffman coding.
Wireless Medical Surveillance System Using Raspberry Pi and X-Bee By. Nikhil ...nikhilpatewar
The document describes a wireless medical surveillance system using a Raspberry Pi and X-Bee devices. It discusses how existing patient monitoring systems use wired connections that make it difficult to monitor patients who need to be moved. The proposed system uses wireless sensors connected to an X-Bee module to transmit patient data like temperature, oxygen levels, ECG readings to a Raspberry Pi base station. This allows for continuous remote monitoring of patients and alerts caregivers if readings exceed thresholds, making the system more flexible and effective for medical care.
What is StrokePad, it's benefits & main features?6PM Solutions
StrokePad is the first fully comprehensive mobile tablet-based Electronic Patient Record. With StrokePad you can remove a layer of administration leaving the clinician to update the Patient Record at the bedside therefore eliminating data errors immediately.
This document provides a synopsis for a proposed dissertation on developing a real-time multi-channel wireless health monitoring system. The system will monitor electrocardiogram (ECG), blood pressure, body temperature, and blood pH from patients. The data will be transmitted wirelessly and viewed by doctors on a computer interface. Doctors will be able to select a patient and view their health parameters in real-time. They will also be able to send a patient's data to specialists for advice when needed. The proposed work will involve collecting sensor data, transmitting it wirelessly, developing processing and display software, and evaluating the system.
Survey on Mobile Based Telemedicine System for Patient Monitoring and Diagnos...IJERA Editor
This document summarizes a research paper on developing a mobile-based telemedicine system for remote patient monitoring and diagnosis in Sikkim, India. The system would use sensors to monitor patients' vital signs like ECG, temperature, blood pressure, etc. at remote hospitals and health centers. It then transmits the data in real-time via cellular networks or stores and forwards it via the internet to a main hospital serving as a remote server unit. There, specialized doctors could monitor patients' health status and diagnose issues. The goal is to provide 24/7 medical care across Sikkim, which faces challenges in remote healthcare access due to its hilly terrain and lack of facilities.
TCI’s cardiology resources get you up to speed and moving faster than ever with how-to coding advice on the cardiology CPT®, HCPCS, and ICD-10-CM code sets—all at your fingertips.
IoT Based Intelligent Medicine Box with AssistanceIRJET Journal
This document describes an intelligent medicine box that stores medicines and alerts patients to take their medicines on time. It measures various health parameters like pulse rate, blood pressure, temperature, and ECG and sends this data to the cloud for doctors to monitor. The system has two units - a GSM timer unit that sends medicine reminders to patients, and a sensor unit that measures health parameters and uploads the data to the cloud using Firebase IoT so doctors can monitor patients' health online. The system is designed to improve medication adherence and allow remote patient monitoring.
Travel Clinic Cardiff: Health Advice for International TravelersNX Healthcare
Travel Clinic Cardiff offers comprehensive travel health services, including vaccinations, travel advice, and preventive care for international travelers. Our expert team ensures you are well-prepared and protected for your journey, providing personalized consultations tailored to your destination. Conveniently located in Cardiff, we help you travel with confidence and peace of mind. Visit us: www.nxhealthcare.co.uk
Computer in pharmaceutical research and development-Mpharm(Pharmaceutics)MuskanShingari
Statistics- Statistics is the science of collecting, organizing, presenting, analyzing and interpreting numerical data to assist in making more effective decisions.
A statistics is a measure which is used to estimate the population parameter
Parameters-It is used to describe the properties of an entire population.
Examples-Measures of central tendency Dispersion, Variance, Standard Deviation (SD), Absolute Error, Mean Absolute Error (MAE), Eigen Value
Know the difference between Endodontics and Orthodontics.Gokuldas Hospital
Your smile is beautiful.
Let’s be honest. Maintaining that beautiful smile is not an easy task. It is more than brushing and flossing. Sometimes, you might encounter dental issues that need special dental care. These issues can range anywhere from misalignment of the jaw to pain in the root of teeth.
Osvaldo Bernardo Muchanga-GASTROINTESTINAL INFECTIONS AND GASTRITIS-2024.pdfOsvaldo Bernardo Muchanga
GASTROINTESTINAL INFECTIONS AND GASTRITIS
Osvaldo Bernardo Muchanga
Gastrointestinal Infections
GASTROINTESTINAL INFECTIONS result from the ingestion of pathogens that cause infections at the level of this tract, generally being transmitted by food, water and hands contaminated by microorganisms such as E. coli, Salmonella, Shigella, Vibrio cholerae, Campylobacter, Staphylococcus, Rotavirus among others that are generally contained in feces, thus configuring a FECAL-ORAL type of transmission.
Among the factors that lead to the occurrence of gastrointestinal infections are the hygienic and sanitary deficiencies that characterize our markets and other places where raw or cooked food is sold, poor environmental sanitation in communities, deficiencies in water treatment (or in the process of its plumbing), risky hygienic-sanitary habits (not washing hands after major and/or minor needs), among others.
These are generally consequences (signs and symptoms) resulting from gastrointestinal infections: diarrhea, vomiting, fever and malaise, among others.
The treatment consists of replacing lost liquids and electrolytes (drinking drinking water and other recommended liquids, including consumption of juicy fruits such as papayas, apples, pears, among others that contain water in their composition).
To prevent this, it is necessary to promote health education, improve the hygienic-sanitary conditions of markets and communities in general as a way of promoting, preserving and prolonging PUBLIC HEALTH.
Gastritis and Gastric Health
Gastric Health is one of the most relevant concerns in human health, with gastrointestinal infections being among the main illnesses that affect humans.
Among gastric problems, we have GASTRITIS AND GASTRIC ULCERS as the main public health problems. Gastritis and gastric ulcers normally result from inflammation and corrosion of the walls of the stomach (gastric mucosa) and are generally associated (caused) by the bacterium Helicobacter pylor, which, according to the literature, this bacterium settles on these walls (of the stomach) and starts to release urease that ends up altering the normal pH of the stomach (acid), which leads to inflammation and corrosion of the mucous membranes and consequent gastritis or ulcers, respectively.
In addition to bacterial infections, gastritis and gastric ulcers are associated with several factors, with emphasis on prolonged fasting, chemical substances including drugs, alcohol, foods with strong seasonings including chilli, which ends up causing inflammation of the stomach walls and/or corrosion. of the same, resulting in the appearance of wounds and consequent gastritis or ulcers, respectively.
Among patients with gastritis and/or ulcers, one of the dilemmas is associated with the foods to consume in order to minimize the sensation of pain and discomfort.
Are you looking for a long-lasting solution to your missing tooth?
Dental implants are the most common type of method for replacing the missing tooth. Unlike dentures or bridges, implants are surgically placed in the jawbone. In layman’s terms, a dental implant is similar to the natural root of the tooth. It offers a stable foundation for the artificial tooth giving it the look, feel, and function similar to the natural tooth.
5-hydroxytryptamine or 5-HT or Serotonin is a neurotransmitter that serves a range of roles in the human body. It is sometimes referred to as the happy chemical since it promotes overall well-being and happiness.
It is mostly found in the brain, intestines, and blood platelets.
5-HT is utilised to transport messages between nerve cells, is known to be involved in smooth muscle contraction, and adds to overall well-being and pleasure, among other benefits. 5-HT regulates the body's sleep-wake cycles and internal clock by acting as a precursor to melatonin.
It is hypothesised to regulate hunger, emotions, motor, cognitive, and autonomic processes.
Summer is a time for fun in the sun, but the heat and humidity can also wreak havoc on your skin. From itchy rashes to unwanted pigmentation, several skin conditions become more prevalent during these warmer months.
Giloy in Ayurveda - Classical Categorization and SynonymsPlanet Ayurveda
Giloy, also known as Guduchi or Amrita in classical Ayurvedic texts, is a revered herb renowned for its myriad health benefits. It is categorized as a Rasayana, meaning it has rejuvenating properties that enhance vitality and longevity. Giloy is celebrated for its ability to boost the immune system, detoxify the body, and promote overall wellness. Its anti-inflammatory, antipyretic, and antioxidant properties make it a staple in managing conditions like fever, diabetes, and stress. The versatility and efficacy of Giloy in supporting health naturally highlight its importance in Ayurveda. At Planet Ayurveda, we provide a comprehensive range of health services and 100% herbal supplements that harness the power of natural ingredients like Giloy. Our products are globally available and affordable, ensuring that everyone can benefit from the ancient wisdom of Ayurveda. If you or your loved ones are dealing with health issues, contact Planet Ayurveda at 01725214040 to book an online video consultation with our professional doctors. Let us help you achieve optimal health and wellness naturally.
- Video recording of this lecture in English language: https://youtu.be/Pt1nA32sdHQ
- Video recording of this lecture in Arabic language: https://youtu.be/uFdc9F0rlP0
- Link to download the book free: https://nephrotube.blogspot.com/p/nephrotube-nephrology-books.html
- Link to NephroTube website: www.NephroTube.com
- Link to NephroTube social media accounts: https://nephrotube.blogspot.com/p/join-nephrotube-on-social-media.html