Design of electrocardiography measurement system with an algorithm to remove noise

Hyeokjun Kwon; Sechang Oh; Prashanth Kumar; Vijay K. Varadan

doi:10.1117/12.879919

13 April 2011 Design of electrocardiography measurement system with an algorithm to remove noise

Hyeokjun Kwon, Sechang Oh, Prashanth Kumar, Vijay K. Varadan

Proceedings Volume 7980, Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2011; 79800K (2011) https://doi.org/10.1117/12.879919
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2011, San Diego, California, United States

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.

Citation Download Citation

Hyeokjun Kwon, Sechang Oh, Prashanth Kumar, and Vijay K. Varadan "Design of electrocardiography measurement system with an algorithm to remove noise", Proc. SPIE 7980, Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2011, 79800K (13 April 2011); https://doi.org/10.1117/12.879919

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