A Phonocardiographic-Based Fiber-Optic Sensor and Adaptive
Filtering System for Noninvasive Continuous Fetal Heart Rate
Monitoring

J 2017

A Phonocardiographic-Based Fiber-Optic Sensor and Adaptive Filtering System for Noninvasive Continuous Fetal Heart Rate Monitoring

MARTINEK, Radek, Jan NEDOMA, Marcel FAJKUS, Radana KAHANKOVA, Jaromir KONECNY et. al.

Basic information

Original name

A Phonocardiographic-Based Fiber-Optic Sensor and Adaptive Filtering System for Noninvasive Continuous Fetal Heart Rate Monitoring

Authors

MARTINEK, Radek (203 Czech Republic), Jan NEDOMA (203 Czech Republic), Marcel FAJKUS (203 Czech Republic), Radana KAHANKOVA (203 Czech Republic), Jaromir KONECNY (203 Czech Republic), Petr JANKŮ (203 Czech Republic, guarantor, belonging to the institution), Stanislav KEPAK (203 Czech Republic), Petr BILIK (203 Czech Republic) and Homer NAZERAN (840 United States of America)

Edition

Sensors, Basel, MDPI AG, 2017, 1424-8220

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10405 Electrochemistry

Country of publisher

Switzerland

Confidentiality degree

není předmětem státního či obchodního tajemství

Impact factor

Impact factor: 2.475

RIV identification code

RIV/00216224:14110/17:00100147

Organization unit

Faculty of Medicine

DOI

http://dx.doi.org/10.3390/s17040890

UT WoS

000400822900231

Keywords in English

interferometer; fetal heart rate (fHR); maternal heart rate (mHR); EMI-free; adaptive system; Least Mean Squares (LMS) algorithm

Abstract

V originále

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.

Citovat

MARTINEK, Radek, Jan NEDOMA, Marcel FAJKUS, Radana KAHANKOVA, Jaromir KONECNY, Petr JANKŮ, Stanislav KEPAK, Petr BILIK and Homer NAZERAN. A Phonocardiographic-Based Fiber-Optic Sensor and Adaptive Filtering System for Noninvasive Continuous Fetal Heart Rate Monitoring. Sensors. Basel: MDPI AG, 2017, vol. 17, No 4, p. 1-26. ISSN 1424-8220. Available from: https://dx.doi.org/10.3390/s17040890.

@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 and 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, vol.~17, No~4, p.~1-26. ISSN~1424-8220. Available from: https://dx.doi.org/10.3390/s17040890.

Detailed Information on Publication Record