Key result
An efficient QRS extraction method using wavelet coefficients achieved a positive predictivity of 99.91% and a sensitivity of 99.77% when tested on 48 records from the MIT-BIH Arrhythmia database.
The proposed wavelet-based algorithm demonstrates high accuracy for QRS detection in ECG signals.
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Should not yet change ECG monitoring; leaves open prospective validation of wavelet QRS methods.
Jenkal et al. (2016) studied Arrhythmia (n=48). QRS extraction method using wavelet coefficients vs. Recently published techniques was evaluated on Positive predictivity (Pp) and sensitivity (Se). An efficient QRS extraction method using wavelet coefficients achieved a positive predictivity of 99.91% and a sensitivity of 99.77% when tested on 48 records from the MIT-BIH Arrhythmia database.
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