International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 36 - Issue 5 |
Published: December 2011 |
Authors: Omkar Singh, Ramesh Kumar Sunkaria |
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Omkar Singh, Ramesh Kumar Sunkaria . A Robust R-peak Detection Algorithm using Wavelet Packets. International Journal of Computer Applications. 36, 5 (December 2011), 37-43. DOI=10.5120/4489-6319
@article{ 10.5120/4489-6319, author = { Omkar Singh,Ramesh Kumar Sunkaria }, title = { A Robust R-peak Detection Algorithm using Wavelet Packets }, journal = { International Journal of Computer Applications }, year = { 2011 }, volume = { 36 }, number = { 5 }, pages = { 37-43 }, doi = { 10.5120/4489-6319 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2011 %A Omkar Singh %A Ramesh Kumar Sunkaria %T A Robust R-peak Detection Algorithm using Wavelet Packets%T %J International Journal of Computer Applications %V 36 %N 5 %P 37-43 %R 10.5120/4489-6319 %I Foundation of Computer Science (FCS), NY, USA
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.