Key result
Optimized denoising with a modified Pan-Tompkins algorithm improves fetal QRS detection and reduces noise distortions.
Why the study?
Capturing a clear fetal ECG is often difficult due to interference from maternal signals and surrounding noise.
Does an optimized denoising approach integrating adaptive filtering and wavelet transform with a modified Pan-Tompkins algorithm improve signal clarity and QRS detection in fetal ECG signals?
Does an optimized denoising approach integrating adaptive filtering and wavelet transform with a modified Pan-Tompkins algorithm improve signal clarity and QRS detection in fetal ECG signals?
A modified Pan-Tompkins algorithm integrating adaptive filtering and wavelet transform improves fetal ECG signal clarity and QRS detection, potentially aiding in the early detection of fetal distress.
May support fetal monitoring research; leaves open prospective clinical validation before practice change.
The electrocardiogram (ECG) is vital for cardiac monitoring. However, capturing a clear fetal ECG (FECG) is often difficult due to interference from the mother's signals and surrounding noise. This study proposes an optimized denoising approach integrating adaptive filtering and wavelet transform with a modified Pan-Tompkins algorithm to enhance the FECG signal clarity. The modifications to the Pan-Tompkins algorithm include optimized band-pass filter values, refined double differentiation, and improved squaring operations, which collectively enhance fetal QRS complex detection and reduce noise-induced distortions. These improvements lead to better identification of key waveform elements, including the P wave, QRS complex, and T wave, ultimately improving the accuracy of fetal heart rate monitoring and aiding in early detection of fetal distress.
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Dharshni et al. (2025) studied Fetal ECG monitoring. Modified Pan-Tompkins algorithm with adaptive filtering and wavelet transform was evaluated on Fetal QRS complex detection and noise-induced distortions. An optimized denoising approach integrating adaptive filtering and wavelet transform with a modified Pan-Tompkins algorithm improved fetal QRS complex detection and reduced noise-induced distortions.
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