Why the study?
Does a dyadic wavelet transform-based QRS detector improve QRS detection in problematic ECG signals compared to standard algorithms?
Population
70 hours of problematic ECG signals from the American Heart Association (AHA) database
Comparison
Dyadic wavelet transform-based QRS complex… vs Detectors based on Okada, Hamilton-Tompkins, and…
Design
Other
Authors
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May support wavelet-based QRS detectors for complex arrhythmias; leaves open prospective validation before clinical use.
Does a dyadic wavelet transform-based QRS detector improve QRS detection in problematic ECG signals compared to standard algorithms?
A dyadic wavelet transform-based QRS detector performs comparably to standard algorithms and excels in detecting complex arrhythmias like multiform PVCs, bigeminy, and couplets.
Kadambe et al. (1999) studied this question.