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This paper comprises the methodology followed to design and implement a wavelet packet based algorithm for QRS region detection and R/S wave identification. Validation is performed using electrocardiographic (ECG) records 100 to 109 of the MIT-BIH Arrhythmia database. The proposed algorithm reconstructs the ECG signal using two nodes from the wavelet packet decomposition. Sensitivity (Se) and positive predictivity (+P) are calculated and compared to other algorithms which use approaches based on derivative signals and digital filters (Hamilton & Tompkins) as well as wavelet-based QRS detection (Li et al.), obtaining the values Se = 99.87 % and +P = 99.85 %. Only 31 false negatives were found, from a total of 21,680 heartbeats, which shows the algorithms' contribution to region location improvement. Also, once the region is determined, a simple max/min threshold is used for R/S wave identification. |
