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Development of Signal Detection Methods for ECG (Electrocardiogram) based u-Healthcare Systems  

Min, Chul-Hong (Dept. of Computer Science and Eng., The Catholic University of Korea)
Kim, Tae-Seon (School of Information, Communications and Electronics Eng., The Catholic University of Korea)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.46, no.6, 2009 , pp. 18-26 More about this Journal
Abstract
In this paper, we proposed multipurpose signal detection methods for ECG (electrocardiogram) based u-healthcare systems. For ECG based u-healthcare system, QRS signal extraction for cardiovascular disease diagnosis is essential. Also, for security and convenience reasons, it is desirable if u-healthcare system support biometric identification directly from user's bio-signal such as ECG for this case. For this, from Lead II signal, we developed QRS signal detection method and also, we developed signal extraction method for biometric identification using Lead II signal which is relatively robust from signal alteration by aging and diseases. For QRS signal detection capability from Lead II signal, ECG signals from MIT-BIH database are used and it showed 99.36% of accuracy and 99.68% of sensitivity. Also, to show the performance of signal extraction capability for biometric diagnosis purpose, Lead III signals are measured after drinking, smoking, or exercise to consider various monitoring conditions and it showed 99.92% of accuracy and 99.97% of sensitivity.
Keywords
심전도 파형추출;심전도 생체인식;심장질환;심전도 리드III 파형;심전도 리드II 파형;
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