Key result
Continuous wavelet transform using the Morlet wavelet efficiently identifies QRS complexes despite noise and drift.
Population
ECG signals from the MIT-BIH database
Design
Other
Authors
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May aid noisy ECG interpretation; hypothesis-generating and should not yet change practice.
Continuous wavelet transform using Morlet wavelet can efficiently identify QRS complexes in ECG signals, robust to noise and baseline drift.
Barmase et al. (2013) studied ECG signal analysis. Continuous wavelet transform using Morlet wavelet was evaluated on QRS complex detection. Continuous wavelet transform using the Morlet wavelet efficiently identified QRS complexes in ECG signals irrespective of noise, high amplitude non-QRS peaks, and baseline drift.
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