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http://dx.doi.org/10.5392/JKCA.2015.15.04.001

ECG Identification Method Using Adaptive Weight Based LMSE Optimization  

Kim, Seok-Ho (충북대학교 전기전자정보컴퓨터학부)
Kang, Hyun-Soo (충북대학교 전기전자정보컴퓨터학부)
Publication Information
The Journal of the Korea Contents Association / v.15, no.4, 2015 , pp. 1-8 More about this Journal
Abstract
This paper presents a Electrocardiogram(ECG) identification method using adaptive weight based on Least Mean Square Error(LMSE) optimization. With a preprocessing for noise suppression, we extracts the average ECG signal and its standard deviation at every time instant. Then the extracted information is stored in database. ECG identification is achieved by matching an input ECG signal with the information in database. In computing the matching scores, the standard deviation is used. The scores are computed by applying adaptive weights to the values of the input signal over all time instants. The adaptive weight consists of two terms. The first term is the inverse of the standard deviation of an input signal. The second term is the proportional one to the standard deviation between user SAECGs stored in the DB. Experimental results show up to 100% recognition rate for 32 registered people.
Keywords
ECG; LMSE; Identification;
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Times Cited By KSCI : 1  (Citation Analysis)
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