ArticleSensors (Basel, Switzerland)2017
A Phonocardiographic-Based Fiber-Optic Sensor and Adaptive Filtering System for Noninvasive Continuous Fetal Heart Rate Monitoring.
Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- AI-Driven Wearable Bioelectronics in Digital Healthcare.Biosensors · 2025Review
- Early heart disease prediction using LV-PSO and Fuzzy Inference Xception Convolution Neural Network on phonocardiogram signals.Frontiers in neuroinformatics · 2025Article
- Emerging Paradigms in Fetal Heart Rate Monitoring: Evaluating the Efficacy and Application of Innovative Textile-Based Wearables.Sensors (Basel, Switzerland) · 2024Review
- Acquisition Devices for Fetal Phonocardiography: A Scoping Review.Bioengineering (Basel, Switzerland) · 2024Article
- A New Approach for Testing Fetal Heart Rate Monitors.Sensors (Basel, Switzerland) · 2020Article
- Comparative Study on Noise Reduction Effect of Fiber Optic Hydrophone Based on LMS and NLMS Algorithm.Sensors (Basel, Switzerland) · 2020Article
- A Survey of Healthcare Internet-of-Things (HIoT): A Clinical Perspective.IEEE internet of things journal · 2020Article
- Magnetic Resonance Imaging Compatible Non-Invasive Fibre-Optic Sensors Based on the Bragg Gratings and Interferometers in the Application of Monitoring Heart and Respiration Rate of the Human Body: A Comparative Study.Sensors (Basel, Switzerland) · 2018Article
- Non-Adaptive Methods for Fetal ECG Signal Processing: A Review and Appraisal.Sensors (Basel, Switzerland) · 2018Review
- Comparative Effectiveness of ICA and PCA in Extraction of Fetal ECG From Abdominal Signals: Toward Non-invasive Fetal Monitoring.Frontiers in physiology · 2018Article
- Non-Invasive Fetal Monitoring: A Maternal Surface ECG Electrode Placement-Based Novel Approach for Optimization of Adaptive Filter Control Parameters Using the LMS and RLS Algorithms.Sensors (Basel, Switzerland) · 2017Article
- A Comparative Study on Fetal Heart Rates Estimated from Fetal Phonography and Cardiotocography.Frontiers in physiology · 2017Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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Registered trials
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