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.
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.
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.
Acquiring Ecg Signals And Analysing For Different Heart AilmentsIJERA Editor
This paper describes and focuses on acquiring and identification of cardiac diseases using ECG waveform in LabVIEW software, which would bridge the gap between engineers and medical physicians. This model work collects the waveform of an affected person. The waveform is analyzed for diseases and then a report is sent to the doctor through mail. Initially the waveforms are collected from the person using EKG sensor with the help of surface electrodes and the hardware controlled by MCU C8051, acquires ECG and also Phonocardiogram (PCG) synchronously and the waveform is sent to the PC installed with LabVIEW software through DAQ-6211. The waveform in digital format is saved and sent to the loops containing conditions for different diseases. If the waveform parameters coincide with any of the looping statements, particular disease is indicated. Simultaneously the patient PCG report is also collected in a separate database containing all information, which will be sent to the doctor through mail.
Population with pacemaker implants varies by age, sex or race and it is used when heart
beats too slowly or when there is irregularity in the beating or there is blockage. Artificial cardiac
pacemaker is a medical device that uses electrical impulses delivered by electrodes contracting the
heart muscles in order to regulate the beating of the heart. This paper presents an integrated fail safe
pacemaker which will produces the artificial pulse whenever the missed pulse in being produced by
the heart. Unit will function as an advanced dual chamber pacemaker type that can pace both atrium
and ventricle and hence functions like a normal heart. The device will monitor the electrical activities
of the heart through the cardiac signal ECG of the patient. Device status and vital parameters can be
monitored using Bluetooth wireless communication and displayed on an Android Platform.
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).
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 paper presents the incorporation of electronics in medical field in order to ease the difficulty of patients for monitoring their physiological conditions in their regular routine life. In the past few decades, due to the advancement in the field of technology, it has proved to be much useful to implement numerous techniques in various other fields like „medical and its application‟. This paper deals with an implementation of a microcontroller based system called as „Patient Monitoring System‟. The „Patient Monitoring System‟ can be used as a technology for monitoring patients outside of conventional clinical settings like home settings, which may lead to increase in the care of patients. It has been recognized as a valuable tool that can enable the care givers to effectively maintain compliance with established guidelines forpatients. It can be defined as a system used for monitoring the various physiological conditions. This can be done with the help of taking different body parameters like heart beats, blood pressure and temperature. These body parameters act as multiplesignal inputs which can be given in order to find out the corresponding outputs which might be so obtained. The result so obtained can thus be compiled into a single device. It can thus help to measure various body parameters of various patients and store the result as database
An ECG-on-Chip with 535-nW/Channel Integrated Lossless Data Compressor for Wi...ecgpapers
Abstract—This paper presents a low-power ECG recording
system-on-chip (SoC) with on-chip low-complexity lossless ECG
compression for data reduction in wireless/ambulatory ECG
sensor devices. The chip uses a linear slope predictor for data
compression, and incorporates a novel low-complexity dynamic
coding-packaging scheme to frame the prediction error into
fixed-length 16 bit format. The proposed technique achieves an
average compression ratio of 2.25× on MIT/BIH ECG database.
Implemented in a standard 0.35 μm process, the compressor uses
0.565 K gates/channel occupying 0.4 mm for four channels, and
consumes 535 nW/channel at 2.4 V for ECG sampled at 512 Hz.
Small size and ultra-low-power consumption makes the proposed
technique suitable for wearable ECG sensor applications.
A low-cost electro-cardiograph machine equipped with sensitivity and paper sp...TELKOMNIKA JOURNAL
The price of electrocardiograph (ECG) machine on the market is very high. Currently, the technology used is still very complicated and ineffective, and the ECG machine cannot be connected to other devices. A new development of a low-cost ECG machine with a customized design was needed to integrate the machine with other devices. Therefore, the purpose of this study is to develop a low-cost ECG machine which can be connected to other devices and equipped with sensitivity and paper speed setting. So that portable ECG machines can be produced and used at small clinics in the society. In this study, the main controller of the 12 channels ECG machines was supported by ATMEGA16 microcontroller, that is available on the market at low prices. The main part of the ECG amplifier is built using a high common mode rejection ratio (CMRR) instrumentation amplifier (AD620) and a bandpass filter which the cutoff frequency for highpass filter and lowpass filter are 0.05 Hz and 100 Hz, respectively. In order to complement the previous study, some features were introduced such as selectivity and motor speed option. In this study, 10 participants are involved for data acquisition,and an ECG phantom was used to calibrate the machine. The performance of the ECG machine was evaluated using standard measurement namely relative percentage error (% error) and uncertainty (UA). The result shows that %error from all of the feature is less than 2% and the UA is 0.0 which shows that the ECG machine is feasible for diagnostic purposes.
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.
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.
Acquiring Ecg Signals And Analysing For Different Heart AilmentsIJERA Editor
This paper describes and focuses on acquiring and identification of cardiac diseases using ECG waveform in LabVIEW software, which would bridge the gap between engineers and medical physicians. This model work collects the waveform of an affected person. The waveform is analyzed for diseases and then a report is sent to the doctor through mail. Initially the waveforms are collected from the person using EKG sensor with the help of surface electrodes and the hardware controlled by MCU C8051, acquires ECG and also Phonocardiogram (PCG) synchronously and the waveform is sent to the PC installed with LabVIEW software through DAQ-6211. The waveform in digital format is saved and sent to the loops containing conditions for different diseases. If the waveform parameters coincide with any of the looping statements, particular disease is indicated. Simultaneously the patient PCG report is also collected in a separate database containing all information, which will be sent to the doctor through mail.
Population with pacemaker implants varies by age, sex or race and it is used when heart
beats too slowly or when there is irregularity in the beating or there is blockage. Artificial cardiac
pacemaker is a medical device that uses electrical impulses delivered by electrodes contracting the
heart muscles in order to regulate the beating of the heart. This paper presents an integrated fail safe
pacemaker which will produces the artificial pulse whenever the missed pulse in being produced by
the heart. Unit will function as an advanced dual chamber pacemaker type that can pace both atrium
and ventricle and hence functions like a normal heart. The device will monitor the electrical activities
of the heart through the cardiac signal ECG of the patient. Device status and vital parameters can be
monitored using Bluetooth wireless communication and displayed on an Android Platform.
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).
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 paper presents the incorporation of electronics in medical field in order to ease the difficulty of patients for monitoring their physiological conditions in their regular routine life. In the past few decades, due to the advancement in the field of technology, it has proved to be much useful to implement numerous techniques in various other fields like „medical and its application‟. This paper deals with an implementation of a microcontroller based system called as „Patient Monitoring System‟. The „Patient Monitoring System‟ can be used as a technology for monitoring patients outside of conventional clinical settings like home settings, which may lead to increase in the care of patients. It has been recognized as a valuable tool that can enable the care givers to effectively maintain compliance with established guidelines forpatients. It can be defined as a system used for monitoring the various physiological conditions. This can be done with the help of taking different body parameters like heart beats, blood pressure and temperature. These body parameters act as multiplesignal inputs which can be given in order to find out the corresponding outputs which might be so obtained. The result so obtained can thus be compiled into a single device. It can thus help to measure various body parameters of various patients and store the result as database
An ECG-on-Chip with 535-nW/Channel Integrated Lossless Data Compressor for Wi...ecgpapers
Abstract—This paper presents a low-power ECG recording
system-on-chip (SoC) with on-chip low-complexity lossless ECG
compression for data reduction in wireless/ambulatory ECG
sensor devices. The chip uses a linear slope predictor for data
compression, and incorporates a novel low-complexity dynamic
coding-packaging scheme to frame the prediction error into
fixed-length 16 bit format. The proposed technique achieves an
average compression ratio of 2.25× on MIT/BIH ECG database.
Implemented in a standard 0.35 μm process, the compressor uses
0.565 K gates/channel occupying 0.4 mm for four channels, and
consumes 535 nW/channel at 2.4 V for ECG sampled at 512 Hz.
Small size and ultra-low-power consumption makes the proposed
technique suitable for wearable ECG sensor applications.
A low-cost electro-cardiograph machine equipped with sensitivity and paper sp...TELKOMNIKA JOURNAL
The price of electrocardiograph (ECG) machine on the market is very high. Currently, the technology used is still very complicated and ineffective, and the ECG machine cannot be connected to other devices. A new development of a low-cost ECG machine with a customized design was needed to integrate the machine with other devices. Therefore, the purpose of this study is to develop a low-cost ECG machine which can be connected to other devices and equipped with sensitivity and paper speed setting. So that portable ECG machines can be produced and used at small clinics in the society. In this study, the main controller of the 12 channels ECG machines was supported by ATMEGA16 microcontroller, that is available on the market at low prices. The main part of the ECG amplifier is built using a high common mode rejection ratio (CMRR) instrumentation amplifier (AD620) and a bandpass filter which the cutoff frequency for highpass filter and lowpass filter are 0.05 Hz and 100 Hz, respectively. In order to complement the previous study, some features were introduced such as selectivity and motor speed option. In this study, 10 participants are involved for data acquisition,and an ECG phantom was used to calibrate the machine. The performance of the ECG machine was evaluated using standard measurement namely relative percentage error (% error) and uncertainty (UA). The result shows that %error from all of the feature is less than 2% and the UA is 0.0 which shows that the ECG machine is feasible for diagnostic purposes.
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.
An ECG-on-Chip for Wearable Cardiac Monitoring Devices ecgpapers
This paper describes a highly integrated, low power chip solution for ECG signal processing in wearable
devices. The chip contains an instrumentation amplifier with programmable gain, a band-pass filter, a 12-bit
SAR ADC, a novel QRS detector, 8K on-chip SRAM, and relevant control circuitry and CPU interfaces. The
analog front end circuits accurately senses and digitizes the raw ECG signal, which is then filtered to extract the
QRS. The sampling frequency used is 256 Hz. ECG samples are buffered locally on an asynchronous FIFO and
is read out using a faster clock, as and when it is required by the host CPU via an SPI interface. The chip was
designed and implemented in 0.35ȝm standard CMOS process. The analog core operates at 1V while the digital
circuits and SRAM operate at 3.3V. The chip total core area is 5.74 mm 2 and consumes 9.6ȝW. Small size and
low power consumption make this design suitable for usage in wearable heart monitoring devices.
Day by day the scope & use of the electronics concepts in bio-medical field is going to increase step by step. Electrocardiogram (ECG) is basically a non-invasive way of measuring the electrical activity of the heart by registering the extracellular potentials generated by it. The ECG signal consists of low amplitude voltage in the presence of high amplitude offset. A power-efficient ECG acquisition system uses a fully digital architecture helps to reduce the power consumption and delay time. Instead of analog block, they convert the input voltage into a digital code by delay lines and are mainly built on digital blocks This digital architecture is capable of operating with a low supply voltage of 0.5 V. The circuit implemented in 90nm CMOS technology. The simulation results show that the DCC circuit of digital architecture consumes 0.42nW of power.
A Wireless Methodology of Heart Attack Detectionijsrd.com
The wrist watch with Heart Attack Detection is equipment that is used daily to indicate heart condition, to detect heart attack and to call for emergency help. It was designed specially to help patients with heart disease.This includes three common sub units. They are Circuit, Analysis Algorithm, and Bluetooth Communication. The first one is to wear on the wrist of the patient to captures the abnormal heart beat waves from the victim and the alternate methods are installed under the stick. This project is based on the previous project “Wireless Heart Attack Detector with GPS†of Fall 2004 [1]. we consider a big improvement in reducing the complexity of the project greatly, in saving power consumption of the project to run much fewer codes and in making the project to run at a faster time. No wire is attached to the wrists. In our project, the ECG waveform is transmitted wirelessly from the wrists to the watch. This gives the user great flexibility while the program is switched on and running. User can drive safely, can use restroom easily and can function normally like without the project. Previous project had the wire connection. All the hardware on the walking watch would have been strapped to the wrists. This will not make the project functional and marketable. Our project is completely portable. Heart condition is displayed in our project. The previous project did not inform the user about his heart condition. We display the heart condition through two LEDs as low-risk (alert level between 4 and 6) and high risk (alert level between 7 and 9). The user can know their heart condition and take proper action to avoid the fatal moment. Proper action could be slowing down and taking a rest.
A Wireless Physiological Monitoring System for Hyperbaric Oxygen ChamberIJRES Journal
This paper introduces a system which can monitor multi-physiological parameters in the hyperbaric oxygen chamber. The monitoring system was designed as a star wireless sensor network and the system’s transmission protocol based on the IEEE802.15.4 were programmed. The signals can be collected with the sensor network working under network synchronization. The system can be used to monitor physiological parameters such as blood pressure, pulse rate and temperature. A prototype of the monitoring system has been fabricated and extensively tested with very good results.
In this paper designing of a battery operated portable single channel electroencephalography (EEG) signal acquisition system is presented. The advancement in the field of hardware and signal processing tools made possible the utilization of brain waves for the communication between humans and computers. The work presented in this paper can be said as a part of bigger task, whose purpose is to classify EEG signals belonging to a varied set of mental activities in a real time Brain Computer Interface (BCI). Keeping in mind the end goal is to research the possibility of utilizing diverse mental tasks as a wide correspondence channel in the middle of individuals and PCs. This work deals with EEG based BCI, intent on the designing of portable EEG signal acquisition system. The EEG signal acquisition system with a cut off frequency band of 1-100 Hz is designed by the use of integrated circuits such as low power instrumentation amplifier INA128P, high gain operational amplifiers LM358P. Initially the amplified EEG signals are digitized and transmitted to a PC by a data acquisition module NI DAQ (SCXI-1302). These transmitted signals are then viewed and stored in the LAB VIEW environment. From a varied set of experimental observation it can be said that the system can be implemented in the acquisition of EEG signals and can stores the data to a PC efficiently and the system would be of advantage to the use of EEG signal acquisition or even BCI application by adapting signal processing tools.
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.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
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
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
2. A prototype of wireless ECG plaster is shown in Fig. 2. It
consist of: (1) a specially designed skin electrode plaster for
acquiring the ECG; (2) a miniature printed circuit board
(2.8cm x 2.4cm) with our proprietary ECG front end chip; and
(3) a high density 650mAH rechargeable Lithium Ion battery.
To minimize power consumption, the data is buffered using
MCU internal memory before sending to the gateway
wirelessly. The maximum range of ZigBee transmission is
about 15 meters in the room. The operational time is around
26 hours for each charge.
required low noise, low distortion analog capabilities always
conflict with the limited power budget. Unfortunately such
situation does not scale down with process technology as well
as in digital domain, and in fact usually gets worse with more
advanced process nodes. In our proposed ECG plaster, we use
a proprietary biomedical data acquisition frontend chip that
employs and extends the solutions we demonstrated in [4][5].
Fig. 4. Architecture of Proposed ECG Acquisition Chip
Fig.2 Wireless ECG Plaster prototype
The firmware for ECG plaster performs the following tasks:
ECG front-end and microprocessor initialization, managing
ECG data buffering, and scheduling the ZigBee transceiver.
Fig. 3 shows a sample application of GUI interface on PC
for receiving and displaying ECG data. It receives ECG data
package from wireless ECG plaster by using an USB ZigBee
transceiver. In order to avoid signal interference from other
wireless devices, the GUI interface can switch among 15
wireless channels. This also allows up to 15 patients to be
monitored simultaneously. In addition, there are several
function buttons in the GUI interface for changing parameters
of the plaster, such as sample rate, overall gain and low-pass
filter. These buttons are located at the right side and bottom
part of the GUI.
As shown in the block diagram in Fig. 4, the chip houses a
fully featured bio-signal acquisition frontend, with all
necessary tuning functions to cater for different input
conditions. The front-end amplifier has on-chip highimpedance DC-blocking inputs that can be directly applied to
ECG electrodes. The amplification stage consists of a low
noise front-end amplifier with band-pass function and a
programmable gain amplifier (PGA) employing the flip-overcapacitor technique [4], as shown in Fig.5. Both op-amps are
biased in subthreshold mode to ensure optimal noise
efficiency against power. During startup or after an input
interruption event such as electrode falloff, a reset signal is
asserted to eliminate the large time constant associated with
the high-pass filter, such that the preamplifier can quickly
resume operation. A series of secondary low-pass filters then
provides further suppression to the out-of-band residues such
that lower sampling frequency (in this case 3 times of signal
bandwidth for over 20-dB attenuation) that favors lower
wireless bit rates can be used. Following the analog processing
modules, a 12-bit charge redistribution SAR ADC quantizes
the conditioned ECG signal based on the sampling speed set
by the microcontroller, and encodes the data into 16-bit SPI
frames.
Fig. 3. GUI interface for PC.
III. ECG ACQUISITION CHIP
For a low-power weak-signal pickup device, one of the most
essential links along the acquisition chain is its analog
processing frontend and analog-to-digital interface. The
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Fig. 5. Circuits for the ECG frond-end
3. Alongside the main signal path, supporting circuits help to
ensure the signal integrity, among which two micro-Watt
right-leg drivers (DRL) prove to be most effective in
counteracting common-mode interferences (namely power line
interference) and excessive electrode contact resistance. Here
DRL1 employs a novel sensing structure, where the commonmode interferences are directly extracted from the main signal
path without the need of dedicated sensing circuitry,
facilitating further power saving. The concept is illustrated in
Fig. 6.
Main Signal Path
ECG
Input
Input Pair
DRL
With all the innovative power saving measures
implemented, the entire chip consumes less than 18 µW and
50 µW when operates at 1.8 V under ECG mode with DRL
turned off and on, respectively. Some of the key specifications
are summarized in Table 1. The chip die photo is shown in
Fig. 7.
IV. CLINICAL TRIAL AND DISCUSSION
To verify the accuracy of the system, clinical trials were
conducted by Cardiologists at two hospitals, i.e. National
University Hospital and Singapore General Hospital. The
Radio frequency channel is centered at 2.405G Hz. Channel
bandwidth is 5MHz. The ECG signal sampling rate is set to
100Hz. The amplifier gain is set to 47dB and 56dB,
respectively for two trials.
The first trial was to verify the accuracy of the device. A
wireless ECG plaster and a commercial Holter were placed on
the subject at the same time. The setting of the two devices is
shown in Fig. 8. Recording time is set as one hour for each
trial. During the recording, the subject can freely move around
in the clinic.
VCM
Fig. 6. Concept of low power DRL circuit with direct common-mode
extraction
ECG plaster
Holter
Fig. 8. The positions of the wireless ECG plaster and Holter
Fig.7 Chip micro photo
Table 1. Performance Summary
Supply Voltage
Technology
1.8 ~ 3.6 V
0.35µm
Low-pass Frequency
50 Hz ~ 8 kHz tunable
Gain
Input-referred Noise
THD @ FS Output
Sampling Freq
ADC ENOB
47 ~ 64 dB tunable
3 μVrms (0.05 ~ 500 Hz)
< 1%
up to 25 kS/s
> 10.3
Interface
Current @ 3 V, ECG
mode with DRL
SPI slave
18 μA
The second trial was to verify the reliability and stability of
the device and wireless link. A healthy male adult subject was
monitored by wireless ECG Plaster for more than 40 hours. In
order to extend the operational hour, two 650mAh batteries
were combined in this trial. The subject was isolated in a
special ward designed for clinical trial. The plaster was pasted
on the position V2 to V4. A laptop with an USB ZigBee
transceiver is used to collect the data.
Fig.9 shows two ECG records from the reference
commercial Holter (Channels 1 and 2) and the proposed
wireless plaster, respectively. We use several methods to
verify the quality of ECG obtained using our device.
A. Average Heart Rate and QRS peaks.
The data collected from the proposed device and reference
Holter are analyzed using popular QRS detection algorithms
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4. [6] in Matlab. From the simulation it was observed that the
number of QRS peaks detected by the algorithm, in a 1 hour
ECG data set obtained from a patient using both devices,
varies by only 0.4%. A few QRS peaks were missing in our
device due to the error caused in Zigbee wireless transmission.
The average Heart rate estimated using both data sets for the
same patient is 99.05bpm and 99.48bpm, respectively.
B. RR Interval
In order to establish the equality of ECG obtained from both
devices, we compute the RR interval for every beat in the
ECG signal. The average differences in RR interval obtained
using both devices are found to be less than 1% of the
reference device. The histograms showing the RR interval for
both data sets are shown in Fig. 10.
Fig.10: RR Interval histograms: ECG plaster Vs Reference Device
REFERENCES
[1]
Fig. 9: ECG Signal: Plaster Device Vs Reference Holter Monitor
[2]
The data recorded for 40 hours in the second trial shows the
proposed wireless ECG plaster works reliably. The normal
daily activities do not have significant impact on the plaster.
[3]
V. CONCLUSION
In this paper we have presented a wireless ECG plaster for
real-time cardiac health monitoring. The proposed device is
wearable, light weight and can wirelessly transfer the patient’s
ECG signal to a remote monitoring station, where it can be
analyzed in detail. The device has a battery life of around 26
hours using a 650mAH rechargeable Lithium Ion battery
while performing continuous ECG recording. The proposed
device has been compared with a reference ECG Holter for
accuracy. The results show that the accuracy of ECG
acquisition using the proposed device is very good, and the
variation in key ECG parameters obtained from proposed
device and the reference device is acceptable for clinical
usage. Also the stability of device for long-term operation has
been checked from a continuous 40-hour ECG recording trial.
[4]
[5]
[6]
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