A novel phonocardiographic-based fiber-optic sensor and adaptive signal processing system successfully extracted fetal heart rate information from maternal abdominal signals.
Can a novel phonocardiographic-based fiber-optic sensor and adaptive filtering system accurately extract continuous noninvasive fetal heart rate?
A novel fiber-optic sensor and adaptive filtering system demonstrates feasibility for noninvasive, continuous fetal heart rate monitoring by effectively separating fetal and maternal phonocardiograms.
This paper focuses on the design, realization, and verification of a novel phonocardiographic- based fiber-optic sensor and adaptive signal processing system for noninvasive continuous fetal heart rate (fHR) monitoring. Our proposed system utilizes two Mach-Zehnder interferometeric sensors. Based on the analysis of real measurement data, we developed a simplified dynamic model for the generation and distribution of heart sounds throughout the human body. Building on this signal model, we then designed, implemented, and verified our adaptive signal processing system by implementing two stochastic gradient-based algorithms: the Least Mean Square Algorithm (LMS), and the Normalized Least Mean Square (NLMS) Algorithm. With this system we were able to extract the fHR information from high quality fetal phonocardiograms (fPCGs), filtered from abdominal maternal phonocardiograms (mPCGs) by performing fPCG signal peak detection. Common signal processing methods such as linear filtering, signal subtraction, and others could not be used for this purpose as fPCG and mPCG signals share overlapping frequency spectra. The performance of the adaptive system was evaluated by using both qualitative (gynecological studies) and quantitative measures such as: Signal-to-Noise Ratio-SNR, Root Mean Square Error-RMSE, Sensitivity-S+, and Positive Predictive Value-PPV.
Martínek et al. (Tue,) conducted a other in Fetal heart rate monitoring. Phonocardiographic-based fiber-optic sensor and adaptive signal processing system was evaluated on Extraction of fetal heart rate information from fetal phonocardiograms. A novel phonocardiographic-based fiber-optic sensor and adaptive signal processing system successfully extracted fetal heart rate information from maternal abdominal signals.
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