Key result
Monitoring FHR using heart sound repetition frequency achieves ~88% accuracy compared to benchmark methods.
Why the study?
Previous fetal phonocardiography-based fetal heart rate monitoring methods degrade in performance due to missed heart sounds in very low signal-to-noise ratio environments.
A novel fetal heart rate monitoring method using the repetition frequency of heart sounds achieves 88.3% accuracy compared to benchmark in low signal-to-noise ratio environments.
May aid low-SNR fetal monitoring; leaves open clinical validation before practice adoption.
As a passive, harmless, and low-cost diagnosis tool, fetal heart rate (FHR) monitoring based on fetal phonocardiography (fPCG) signal is alternative to ultrasonographic cardiotocography. Previous fPCG-based methods commonly relied on the time difference of detected heart sound bursts. However, the performance is unavoidable to degrade due to missed heart sounds in very low signal-to-noise ratio environments. This paper proposes a FHR monitoring method using repetition frequency of heart sounds. The proposed method can track time-varying heart rate without both heart sound burst identification and denoising. The average accuracy rate comparison to benchmark is 88.3% as the SNR ranges from −4.4 dB to −26.7 dB.
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Tang et al. (2016) studied Fetal heart rate monitoring. Fetal heart rate monitoring method using repetition frequency of heart sounds vs. Benchmark methods was evaluated on Average accuracy rate. A proposed fetal heart rate monitoring method using the repetition frequency of heart sounds achieved an average accuracy rate of 88.3% compared to benchmark across SNR ranges of -4.4 dB to -26.7 dB.
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