An algorithm for evaluating the ECG signal quality in 12 lead ECG monitoring system

Author(s):  
Yue Zhang ◽  
Zhongjie Hou
Author(s):  
T.O. Білобородова ◽  
І.С. Скарга-Бандурова ◽  
В.С. Дерев’янченко

Functional state of the cardiovascular system is an important factor for human physical well-being. To perform analysis of the cardiovascular state, the wearable continuous ECG monitoring system is essential. In this paper, a wearable ECG monitoring system based on IoT is proposed. The systems architecture is presented. Wearable devices design employs few optimal components for the acquisition of acceptable ECG signal. The R peaks corresponding to each heartbeat, and T waves, a morphological feature of the ECG are detected. It enables to perform heart rate and heart rate variability analyses, as well as  extract, store and analyze  the long term ECG measurements.


Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1509 ◽  
Author(s):  
Chien-Chin Hsu ◽  
Bor-Shing Lin ◽  
Ke-Yi He ◽  
Bor-Shyh Lin

A standard 12-lead electrocardiogram (ECG) is an important tool in the diagnosis of heart diseases. Here, Ag/AgCl electrodes with conductive gels are usually used in a 12-lead ECG system to access biopotentials. However, using Ag/AgCl electrodes with conductive gels might be inconvenient in a prehospital setting. In previous studies, several dry electrodes have been developed to improve this issue. However, these dry electrodes have contact with the skin directly, and they might be still unsuitable for patients with wounds. In this study, a wearable 12-lead electrocardiogram monitoring system was proposed to improve the above issue. Here, novel noncontact electrodes were also designed to access biopotentials without contact with the skin directly. Moreover, by using the mechanical design, this system allows the user to easily wear and take off the device and to adjust the locations of the noncontact electrodes. The experimental results showed that the proposed system could exactly provide a good ECG signal quality even while walking and could detect the ECG features of the patients with myocardial ischemia, installation pacemaker, and ventricular premature contraction.


2020 ◽  
Vol 1 (3) ◽  
pp. 106-111 ◽  
Author(s):  
Dathar Hasan ◽  
Ayad Ismaeel

Nowadays, heart diseases are considered to be the primary reasons for unexpected deaths. Thus, various medical devices have been developed by engineers to diagnose and scrutinize various diseases. Healthcare has become one of the most substantial issues for both individuals and government due to brisk growth in human population and medical expenditure. Many patients suffer from heart problems causing some critical threats to their life, therefore they need continuous monitoring by a traditional monitoring system such as Electrocardiographic (ECG) which is the most important technique used in measuring the electrical activity of the heart, this technique is available only in the hospital which is very costly and far for remote patients. The development of wireless technologies enables to build a network of connected devices via the internet. The proposed ECG monitoring system consists of AD8382 ECG sensor to read patient's data, Arduino Uno, ESP8266 Wi-Fi module, and IoT Blynk application. The implementation of the proposed ECG healthcare system enables the doctor to monitor the patient's remotely using IoT Blynk application installed on his smartphone for processing and visualizing the patient's ECG signal. The monitoring process can be done at any time and anywhere without the need for the hospital.


2019 ◽  
Vol 14 (1) ◽  
pp. 68-74 ◽  
Author(s):  
A.S. Kulkarni ◽  
M. Suchetha ◽  
N. Kumaravel

Background: An electrocardiogram device monitors the cardiac status of a patient by recording the heart’s electrical potential vs time. Such devices play a very important role to save the life of patients who survive a heart attack or suffer from these patients. An early detection of conditions that lead to the onset of cardiac arrest allows doctors to provide proper treatment on time and prevents death or disability from cardiac arrest. Most developing countries have very poor information about these health care issues. Methods: An actual deployment of the system was used to evaluate key aspects of the system architecture, in particular, the possibility to monitor the ECG signal of single patients in a large area and for a long time the possibility to access ECG data through the web interface. The test deployment consisted of ECG sensor AD8232, wi-fi module and IoT server. The IoT server was installed on a Linux/ windows machine. The wifi has been configured to connect to the server, through an ADSL router. Conclusion: We have proposed a wireless wearable ECG monitoring system enabled with an IoT platform that integrates heterogeneous nodes of ECG sensor and applications, has a long battery life and provides a high-quality ECG signal. The system allows monitoring single/multiple patients on a relatively large indoor area (home, building, nursing home, etc). As observed, this result is obtained through a careful set of choices at the level of components, circuit solutions, and algorithms. We would like to stress the fact that a dedicated overall output is not enough to achieve an advantage in terms of overall sensor performance. The latter depends on the optimization of the whole sensor. Indeed, this proposed ECG sensor, based on a high-performance ADC and an arm processor, provides much better performance, in terms of power consumption and noise, than many proposed system based on a purposely designed front-end chip.


2018 ◽  
Vol 150 ◽  
pp. 01013 ◽  
Author(s):  
Khairul Affendi Rosli ◽  
Mohd. Hafizi Omar ◽  
Ahmad Fariz Hasan ◽  
Khairil Syahmi Musa ◽  
Mohd Fairuz Muhamad Fadzil ◽  
...  

Electrocardiograph (ECG) monitoring system is one of the diagnostic tools which can help in reduce the risk of heart attack. A cardiologist may be able to determine heart condition from the ECG signal that recorded from subject. The purpose was to design an ECG monitoring system which consists of ECG circuit and digital signal processing system to deny the unwanted signal. In general, the ECG signal is nature weak and only around 1mV amplitude. Therefore filter and amplifier circuits were designed into 3 stages with a total gain of 1000 to bring the signal to around 1V. Circuit designed included of instrumentation amplifier, bandpass filter and notch filter. The frequency bandwidth of ECG is between 0.05Hz until 100Hz. Schematic circuit was tested by software simulation before proceeding to hardware implementation. Simulation analysis was done by using Software Proteus 8 Professional while the further signal processing was done in MATLAB software environment. A PQRST ECG waveform can be seen clearly after digital filtering stage in MATLAB environment. Digital signal processing in MATLAB software included of pre-filtering, Fast Fourier transform and peak detection. As conclusion, the time interval between peaks can be determined automatically which can provide useful information in clinical aspect.


Author(s):  
Jia Hua-Ping ◽  
Zhao Jun-Long ◽  
Liu Jun

Cardiovascular disease is one of the major diseases that threaten the human health. But the existing electrocardiograph (ECG) monitoring system has many limitations in practical application. In order to monitor ECG in real time, a portable ECG monitoring system based on the Android platform is developed to meet the needs of the public. The system uses BMD101 ECG chip to collect and process ECG signals in the Android system, where data storage and waveform display of ECG data can be realized. The Bluetooth HC-07 module is used for ECG data transmission. The abnormal ECG can be judged by P wave, QRS bandwidth, and RR interval. If abnormal ECG is found, an early warning mechanism will be activated to locate the user’s location in real time and send preset short messages, so that the user can get timely treatment, avoiding dangerous occurrence. The monitoring system is convenient and portable, which brings great convenie to the life of ordinary cardiovascular users.


Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 651
Author(s):  
Florent Baty

This editorial of the Special Issue “ECG Monitoring System” provides a short overview of the 13 contributed articles published in this issue [...]


2016 ◽  
Vol 37 (8) ◽  
pp. 1370-1382 ◽  
Author(s):  
C Daluwatte ◽  
L Johannesen ◽  
L Galeotti ◽  
J Vicente ◽  
D G Strauss ◽  
...  

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