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A Robust R-peak Detection Algorithm using Wavelet Packets

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International Journal of Computer Applications
© 2011 by IJCA Journal
Volume 36 - Number 5
Year of Publication: 2011
Authors:
Omkar Singh
Ramesh Kumar Sunkaria
10.5120/4489-6319

Omkar Singh and Ramesh Kumar Sunkaria. Article: A Robust R-peak Detection Algorithm using Wavelet Packets. International Journal of Computer Applications 36(5):37-43, December 2011. Full text available. BibTeX

@article{key:article,
	author = {Omkar Singh and Ramesh Kumar Sunkaria},
	title = {Article: A Robust R-peak Detection Algorithm using Wavelet Packets},
	journal = {International Journal of Computer Applications},
	year = {2011},
	volume = {36},
	number = {5},
	pages = {37-43},
	month = {December},
	note = {Full text available}
}

Abstract

The efficient detection of R-peaks in electrocardiogram (ECG) signal is extremely important for its further processing with regard to cardiac health monitoring. In this paper, an efficient R-peak detection algorithm based on wavelet packets has been proposed. The wavelet packets decompose ECG signal into different frequency subbands of uniform bandwidth. The features evaluated from a set of subbands are combined with heuristic detection strategy for beat detection. The proposed R-peak detection algorithm was tested on different data records of standard data bases Fantasia database, MIT-BIH arrhythmia database and self-recorded signals. A sensitivity S_e= 100% and a positive predictivity of +P = 100% for Fantasia database and S_e= 100%, +P = 100% for self-recorded signals and S_e = 99.94%, +P = 99.93% for MIT-BIH arrhythmia database were achieved using this proposed algorithm.

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