Implementation of a Web-Based Wireless ECG Measuring and Recording System
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Implementation of a Web-Based Wireless ECG Measuring and Recording System

Authors: Onder Yakut, Serdar Solak, Emine Dogru Bolat

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.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1109001

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References:


[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).