Key result
DTCWT improves signal-to-noise ratio over DWT in ~65% of simulated fetal phonocardiograms.
Why the study?
The fetal phonocardiogram (fPCG) method requires matured denoising techniques to overcome maternal interference for effective fetal heart rate monitoring.
Dual-tree Complex Wavelet Transforms (DTCWT) outperformed Discrete Wavelet Transform (DWT) in denoising fetal phonocardiogram signals, potentially improving non-invasive fetal heart rate monitoring.
DTCWT may improve simulated fetal phonocardiogram denoising; leaves open clinical validation and monitoring impact.
Monitoring of Fetal Heart Rate (FHR) in the pregnancy period commonly uses the Doppler-based instruments despite having several disadvantages, such as high-cost and complexity of the monitoring system. Implementation of the passive and non-invasive method based on fetal phonocardiogram (fPCG), the acoustic recording of fetus cardiac signal, can be used as a potentially economical long-term monitoring device for diagnosis. Because the interference signal from the maternal women exists, the matured denoising technique was needed to implement the fPCG method to diagnose the fetus' well-being condition. The denoising system based on Dual-tree Complex Wavelet Transforms (DTCWT) was proposed in this paper. The proposed method was evaluated using Signal to Noise Ratio (SNR). Based on the experiment result from 37 fPCG signals from physio.net, the DTCWT system performance was compared with the Discrete Wavelet Transform (DWT). There were 24 CWT’s denoised fPCG signals that have successfully outperformed DWT’s SNR. DTCWT has also reduced the noises in the range of 30 Hz–80 Hz. Also, it emphasized the existence of dominant frequencies in the range of 60 Hz–65 Hz.
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Zulherman et al. (2020) studied Fetal phonocardiogram signals (n=37). Dual-tree Complex Wavelet Transform (DTCWT) vs. Discrete Wavelet Transform (DWT) was evaluated on Signal to Noise Ratio (SNR). The Dual-tree Complex Wavelet Transform (DTCWT) outperformed the Discrete Wavelet Transform (DWT) by achieving a better Signal to Noise Ratio in 24 out of 37 simulated fetal phonocardiogram signals.
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