NDLI: Performance study of wavelet-based ECG analysis for ST-segment detection

Content Provider	IEEE Xplore Digital Library
Author	Fujita, N. Sato, A. Kawarasaki, M.
Copyright Year	2015
Description	Author affiliation: Sch. of Inf., Univ. of Tsukuba, Tsukuba, Japan (Fujita, N.) \|\| Fac. of Libr., Univ. of Tsukuba, Tsukuba, Japan (Kawarasaki, M.) \|\| Fac. of Med., Univ. of Tsukuba, Tsukuba, Japan (Sato, A.)
Abstract	Heart disease has the second highest mortality rate in Japan. In particular, the ischemic heart disease such as the myocardial infarction and the heart failure requires emergency treatment. Although their symptoms emerge as an elevation or depression of the ST segment in ECG (electrocardiogram) waveform, it is very difficult to detect it because the S and T waves are quite small as compared with the R-wave. In this paper, we evaluate the practical utility of wavelet-based ECG analysis algorithm through the actual patient data. We used an algorithm proposed in literature. We reveal that the algorithm performs accurate waveform detection of ST waves in most cases but it fails when the ECG waveform is influenced by a large baseline fluctuation or by strong ST elevations that deform the ECG waveform significantly. In addition, we analyze the reasons why the algorithm fails to detect the ST waves.
Starting Page	430
Ending Page	434
File Size	496940
Page Count	5
File Format	PDF
e-ISBN	9781479984985
DOI	10.1109/TSP.2015.7296298
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-09
Publisher Place	Czech Republic
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Algorithm design and analysis Ischemic heart disease Wavelet transform Extremum Noise Electrocardiography Myocardium Wavelet analysis Zero crossing ST segment ECG analysis
Content Type	Text
Resource Type	Article

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