A Robust R-peak Detection Algorithm using Wavelet Packets
نویسندگان
چکیده
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 Rpeak detection algorithm was tested on different data records of standard data bases Fantasia database, MIT-BIH arrhythmia database and self-recorded signals. A sensitivity Se= 100% and a positive predictivity of +P = 100% for Fantasia database and Se= 100%, +P = 100% for self-recorded signals and Se = 99.94%, +P = 99.93% for MIT-BIH arrhythmia database were achieved using this proposed algorithm.
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