Comparative analysis of QRS impulse detection
by Parul Saini; Amit Kaul; Ravinder Nath
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 9, No. 2, 2012

Abstract: Biomedical signals like heart signal tend to be non-stationary. It is composed of P, QRS and T waves and information related to cardiac diseases can be extracted from the intervals and amplitudes of these waves. The performance of automatic diagnosis relies heavily on the detection of QRS complex which is necessary to determine the heart rate and as reference to beat alignments. This paper is about the detection of sample number where the R-wave is present. The sensitivity and detection error of various approaches for QRS complex detection is compared. Advantage of using wavelet transform is the non-stationary nature of ECG signal. Template Matching and Tompkins methods are easy to implement and provide good results as compared to other methods.

Online publication date: Fri, 12-Dec-2014

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