Key result
Novel one-step DWT improves wandering and noise suppression in abdominal ECGs from pregnant women.
A novel one-step discrete wavelet transform technique can be used for efficient noise suppression in ECG signals.
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Hypothesis-generating for wavelet denoising in abdominal ECG; requires prospective validation prior to clinical adoption.
This paper illustrates the application of the discrete wavelet transform (DWT) for wandering and noise suppression in electrocardiographic (ECG) signals. A novel one-step implementation is presented, which allows improving the overall denoising process. In addition an exhaustive study is carried out, defining threshold limits and thresholding rules for optimal wavelet denoising using this presented technique. The system has been tested using synthetic ECG signals, which allow accurately measuring the effect of the proposed processing. Moreover, results from real abdominal ECG signals acquired from pregnant women are presented in order to validate the presented approach.
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Castillo et al. (2013) studied this question. One-step discrete wavelet transform (DWT) implementation was evaluated on Wandering and noise suppression. A novel one-step implementation of the discrete wavelet transform improved wandering and noise suppression in synthetic and real abdominal ECG signals from pregnant women.
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