文章基本信息

标题：Robust R Peak and QRS detection in Electrocardiogram using Wavelet Transform
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作者：P Sasikala ; Dr. R.S.D. Wahidabanu
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2010
卷号：1
期号：6
DOI：10.14569/IJACSA.2010.010608
出版社：Science and Information Society (SAI)
摘要：In this paper a robust R Peak and QRS detection using Wavelet Transform has been developed. Wavelet Transform provides efficient localization in both time and frequency. Discrete Wavelet Transform (DWT) has been used to extract relevant information from the ECG signal in order to perform classification. Electrocardiogram (ECG) signal feature parameters are the basis for signal Analysis, Diagnosis, Authentication and Identification performance. These parameters can be extracted from the intervals and amplitudes of the signal. The first step in extracting ECG features starts from the exact detection of R Peak in the QRS Complex. The accuracy of the determined temporal locations of R Peak and QRS complex is essential for the performance of other ECG processing stages. Individuals can be identified once ECG signature is formulated. This is an initial work towards establishing that the ECG signal is a signature like fingerprint, retinal signature for any individual Identification. Analysis is carried out using MATLAB Software. The correct detection rate of the Peaks is up to 99% based on MIT-BIH ECG database.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; Electrocardiogram; Wavelet Transform; QRS complex; Filters; Thresholds