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Proceedings Paper

Design of electrocardiography measurement system with an algorithm to remove noise
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Paper Abstract

Electrocardiography (ECG) is an important diagnostic tool that can provide vital information about diseases that may not be detectable with other biological signals like, SpO2(Oxygen Saturation), pulse rate, respiration, and blood pressure. For this reason, EKG measurement is mandatory for accurate diagnosis. Recent development in information technology has facilitated remote monitoring systems which can check patient's current status. Moreover, remote monitoring systems can obviate the need for patients to go to hospitals periodically. Such representative wireless communication system is Zigbee sensor network because Zigbee sensor network provides low power consumption and multi-device connection. When we measure EKG signal, another important factor that we should consider is about unexpected signals mixed to EKG signal. The unexpected signals give a severe impact in distorting original EKG signal. There are three kinds of types in noise elements such as muscle noise, movement noise, and respiration noise. This paper describes the design method for EKG measurement system with Zigbee sensor network and proposes an algorithm to remove noises from measured ECG signal.

Paper Details

Date Published: 13 April 2011
PDF: 9 pages
Proc. SPIE 7980, Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2011, 79800K (13 April 2011); doi: 10.1117/12.879919
Show Author Affiliations
Hyeokjun Kwon, Univ. of Arkansas (United States)
Sechang Oh, Univ. of Arkansas (United States)
Prashanth Kumar, Univ. of Arkansas (United States)
Vijay K. Varadan, Univ. of Arkansas (United States)
Pennsylvania State Univ. Hershey Medical Ctr. (United States)
Global Institute of Nanotechnology, Engineering and Medicine Inc. (United States)

Published in SPIE Proceedings Vol. 7980:
Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2011
Vijay K. Varadan, Editor(s)

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