Implementation of a Web-Based Wireless ECG Measuring and Recording System
Measuring the Electrocardiogram (ECG) signal is an
essential process for the diagnosis of the heart diseases. The ECG
signal has the information of the degree of how much the heart
performs its functions. In medical diagnosis and treatment systems,
Decision Support Systems processing the ECG signal are being
developed for the use of clinicians while medical examination. In this
study, a modular wireless ECG (WECG) measuring and recording
system using a single board computer and e-Health sensor platform
is developed. In this designed modular system, after the ECG signal
is taken from the body surface by the electrodes first, it is filtered and
converted to digital form. Then, it is recorded to the health database
using Wi-Fi communication technology. The real time access of the
ECG data is provided through the internet utilizing the developed
web interface.
[1] N. Baccar, R. Bouallegue, “A New Web-based E-health Platform”,
Wireless and Mobile Computing, Networking and Communications
(WiMob), IEEE 10th International Conference on, Larnaca, 2014, pp.
14-19.
[2] Q. Shen, X. Lian, X. Shen, X. Lin, H. Y. Luo, “Exploiting Geo-
Distributed Clouds for a E-Health Monitoring System With Minimum
Service Delay and Privacy Preservation”, IEEE Journal Of Bıomedıcal
And Health Informatıcs, vol. 18, March 2014, pp. 430-439.
[3] N. Alnosayan, E. Lee, A. Alluhaidan, S. Chatterjee, L. H. Feenstra, M.
Kagoda, W. Dysinger, “MyHeart: An Intelligent mHealth Home
Monitoring System Supporting Heart Failure Self-Care”, IEEE 16th
International Conference on e-Health Networking, Applications and
Services (Healthcom), Natal, 2014, pp. 311-316.
[4] S. Mukherjee, K. Dolui, S. K. Datta, “Patient Health Management
System using e-Health Monitoring Architecture”, Advance Computing
Conference (IACC), IEEE International, Gurgaon, 2014, pp. 400-405.
[5] H. Gjoreski, A. Rashkovska, S. Kozina, M. Lustrek, M. Gams,
“Telehealth using ECG Sensor and Accelerometer”, Information and
Communication Technology, Electronics and Microelectronics
(MIPRO), 37th International Convention on, Opatija, 2014, pp. 270-
274.
[6] A. Maurya, D. S. Bade, “Design of a Wireless Health Monitoring
System based on M2M Communication”, Control, Instrumentation,
Communication and Computational Technologies (ICCICCT),
International Conference on, Kanyakumari, 2014, pp. 949-953.
[7] J. E. Gaxiola-Sosa, N. Mohsin, A. J. Palliyali, R. Tafreshi, K. Entesari,
“A Portable 12-Lead ECG Wireless Medical System for Continuous
Cardiac-Activity Monitoring”, Middle East Conference on Biomedical
Engineering (MECBME), Qatar, 2014, pp. 123-126.
[8] O. Yakut, S. Solak, E. Dogru Bolat, “Measuring ECG Signal Using e-
Health Sensor Platform”, International Conference on Chemistry,
Biomedical and Environment Engineering (ICCBEE'14), Antalya, 2014,
pp. 71-75.
[9] http://www.raspberrypi.org/documentation (accessed 04 March 2015).
[10] http://www.cooking-hacks.com/documentation/tutorials/raspberry-pi-toarduino-
shields-connection-bridge (accessed 12 March 2015).
[11] http://www.cooking-hacks.com/documentation/tutorials/ehealthbiometric-
sensor-platform-arduino-raspberry-pi-medical (accessed 19
March 2015).
[12] http://jquery.com/ (accessed 21 March 2015).
[13] http://www.highcharts.com/ (accessed 24 March 2015).
[1] N. Baccar, R. Bouallegue, “A New Web-based E-health Platform”,
Wireless and Mobile Computing, Networking and Communications
(WiMob), IEEE 10th International Conference on, Larnaca, 2014, pp.
14-19.
[2] Q. Shen, X. Lian, X. Shen, X. Lin, H. Y. Luo, “Exploiting Geo-
Distributed Clouds for a E-Health Monitoring System With Minimum
Service Delay and Privacy Preservation”, IEEE Journal Of Bıomedıcal
And Health Informatıcs, vol. 18, March 2014, pp. 430-439.
[3] N. Alnosayan, E. Lee, A. Alluhaidan, S. Chatterjee, L. H. Feenstra, M.
Kagoda, W. Dysinger, “MyHeart: An Intelligent mHealth Home
Monitoring System Supporting Heart Failure Self-Care”, IEEE 16th
International Conference on e-Health Networking, Applications and
Services (Healthcom), Natal, 2014, pp. 311-316.
[4] S. Mukherjee, K. Dolui, S. K. Datta, “Patient Health Management
System using e-Health Monitoring Architecture”, Advance Computing
Conference (IACC), IEEE International, Gurgaon, 2014, pp. 400-405.
[5] H. Gjoreski, A. Rashkovska, S. Kozina, M. Lustrek, M. Gams,
“Telehealth using ECG Sensor and Accelerometer”, Information and
Communication Technology, Electronics and Microelectronics
(MIPRO), 37th International Convention on, Opatija, 2014, pp. 270-
274.
[6] A. Maurya, D. S. Bade, “Design of a Wireless Health Monitoring
System based on M2M Communication”, Control, Instrumentation,
Communication and Computational Technologies (ICCICCT),
International Conference on, Kanyakumari, 2014, pp. 949-953.
[7] J. E. Gaxiola-Sosa, N. Mohsin, A. J. Palliyali, R. Tafreshi, K. Entesari,
“A Portable 12-Lead ECG Wireless Medical System for Continuous
Cardiac-Activity Monitoring”, Middle East Conference on Biomedical
Engineering (MECBME), Qatar, 2014, pp. 123-126.
[8] O. Yakut, S. Solak, E. Dogru Bolat, “Measuring ECG Signal Using e-
Health Sensor Platform”, International Conference on Chemistry,
Biomedical and Environment Engineering (ICCBEE'14), Antalya, 2014,
pp. 71-75.
[9] http://www.raspberrypi.org/documentation (accessed 04 March 2015).
[10] http://www.cooking-hacks.com/documentation/tutorials/raspberry-pi-toarduino-
shields-connection-bridge (accessed 12 March 2015).
[11] http://www.cooking-hacks.com/documentation/tutorials/ehealthbiometric-
sensor-platform-arduino-raspberry-pi-medical (accessed 19
March 2015).
[12] http://jquery.com/ (accessed 21 March 2015).
[13] http://www.highcharts.com/ (accessed 24 March 2015).
@article{"International Journal of Electrical, Electronic and Communication Sciences:70959", author = "Onder Yakut and Serdar Solak and Emine Dogru Bolat", title = "Implementation of a Web-Based Wireless ECG Measuring and Recording System", abstract = "Measuring the Electrocardiogram (ECG) signal is an
essential process for the diagnosis of the heart diseases. The ECG
signal has the information of the degree of how much the heart
performs its functions. In medical diagnosis and treatment systems,
Decision Support Systems processing the ECG signal are being
developed for the use of clinicians while medical examination. In this
study, a modular wireless ECG (WECG) measuring and recording
system using a single board computer and e-Health sensor platform
is developed. In this designed modular system, after the ECG signal
is taken from the body surface by the electrodes first, it is filtered and
converted to digital form. Then, it is recorded to the health database
using Wi-Fi communication technology. The real time access of the
ECG data is provided through the internet utilizing the developed
web interface.", keywords = "ECG, e-health sensor shield, raspberry Pi, wifi
technology.", volume = "9", number = "10", pages = "1105-4", }