A Real-Time Adaptive Wavelet Transform-Based QRS Complex Detector

Authors:
Marek Rudnicki;Paweł Strumiłło
Affiliations:
Institute of Electronics, Technical University of Łódź, 211/215 Wólczańska, 90-924 Łódź, Poland;Institute of Electronics, Technical University of Łódź, 211/215 Wólczańska, 90-924 Łódź, Poland
Venue:
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II
Year:
2007

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Abstract

In this paper, the design and test results of a QRS complex detector are presented. The detection algorithm is based on the Discrete Wavelet Transform and implements an adaptive weighting scheme of the selected transform coefficients in the time domain. It was tested against a standard MIT-BIH Arrhythmia Database of ECG signals for which sensitivity (Se) of 99.54% and positive predictivity (+ P) of 99.52% was achieved. The designed QRS complex detector is implemented on TI TMS320C6713 DSP for real-time processing of ECGs.