Key result
Novel DWT-based QRS detection algorithm achieves ~100% accuracy in arrhythmic ECG signals.
Population
Two-channel ECG records obtained from n=48 patients in the MIT/BIH arrhythmia database
Design
Other
Authors
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May improve detection of morphologically abnormal QRS; leaves open large-scale clinical validation before routine use.
A novel QRS detection algorithm based on digital filtering and Discrete Wavelet Transform achieved high accuracy (99.74%) and sensitivity (99.79%) in detecting complex arrhythmic ECG signals.
Bilgin et al. (2018) studied Arrhythmia (n=48). Digital filtering and Discrete Wavelet Transform (DWT) based QRS detection algorithm was evaluated on Detection accuracy. A novel QRS detection algorithm based on digital filtering and Discrete Wavelet Transform achieved an overall detection accuracy of 99.74% and a sensitivity of 99.79% in arrhythmic ECG signals.
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