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@article{1409667, author = {Martinek, Radek and Nedoma, Jan and Fajkus, Marcel and Kahankova, Radana and Konecny, Jaromir and Janků, Petr and Kepak, Stanislav and Bilik, Petr and Nazeran, Homer}, article_location = {Basel}, article_number = {4}, doi = {http://dx.doi.org/10.3390/s17040890}, keywords = {interferometer; fetal heart rate (fHR); maternal heart rate (mHR); EMI-free; adaptive system; Least Mean Squares (LMS) algorithm}, language = {eng}, issn = {1424-8220}, journal = {Sensors}, title = {A Phonocardiographic-Based Fiber-Optic Sensor and Adaptive Filtering System for Noninvasive Continuous Fetal Heart Rate Monitoring}, volume = {17}, year = {2017} }
TY - JOUR ID - 1409667 AU - Martinek, Radek - Nedoma, Jan - Fajkus, Marcel - Kahankova, Radana - Konecny, Jaromir - Janků, Petr - Kepak, Stanislav - Bilik, Petr - Nazeran, Homer PY - 2017 TI - A Phonocardiographic-Based Fiber-Optic Sensor and Adaptive Filtering System for Noninvasive Continuous Fetal Heart Rate Monitoring JF - Sensors VL - 17 IS - 4 SP - 1-26 EP - 1-26 PB - MDPI AG SN - 14248220 KW - interferometer KW - fetal heart rate (fHR) KW - maternal heart rate (mHR) KW - EMI-free KW - adaptive system KW - Least Mean Squares (LMS) algorithm N2 - 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. ER -
MARTINEK, Radek, Jan NEDOMA, Marcel FAJKUS, Radana KAHANKOVA, Jaromir KONECNY, Petr JANKŮ, Stanislav KEPAK, Petr BILIK a Homer NAZERAN. A Phonocardiographic-Based Fiber-Optic Sensor and Adaptive Filtering System for Noninvasive Continuous Fetal Heart Rate Monitoring. \textit{Sensors}. Basel: MDPI AG, 2017, roč.~17, č.~4, s.~1-26. ISSN~1424-8220. Dostupné z: https://dx.doi.org/10.3390/s17040890.
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