NEDOMA, Jan, Marcel FAJKUS, Stanislav KEPAK, Jakub CUBIK, Radana KAHANKOVA, Petr JANKŮ, Vladimír VASINEK, Homer NAZERAN and Radek MARTINEK. NONINVASIVE FETAL HEART RATE MONITORING: VALIDATION OF PHONOCARDIOGRAPHY-BASED FIBER-OPTIC SENSING AND ADAPTIVE FILTERING USING THE NLMS ALGORITHM. Advances in Electrical and Electronic Engineering. Ostrava: Vysoká škola báňská - Technická univerzita, 2017, vol. 15, No 3, p. 544-552. ISSN 1336-1376. Available from: https://dx.doi.org/10.15598/aeee.v15i3.2195.
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Basic information
Original name NONINVASIVE FETAL HEART RATE MONITORING: VALIDATION OF PHONOCARDIOGRAPHY-BASED FIBER-OPTIC SENSING AND ADAPTIVE FILTERING USING THE NLMS ALGORITHM
Authors NEDOMA, Jan (203 Czech Republic), Marcel FAJKUS (203 Czech Republic), Stanislav KEPAK (203 Czech Republic), Jakub CUBIK (203 Czech Republic), Radana KAHANKOVA (203 Czech Republic), Petr JANKŮ (203 Czech Republic, guarantor, belonging to the institution), Vladimír VASINEK (203 Czech Republic), Homer NAZERAN (203 Czech Republic) and Radek MARTINEK (203 Czech Republic).
Edition Advances in Electrical and Electronic Engineering, Ostrava, Vysoká škola báňská - Technická univerzita, 2017, 1336-1376.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 20200 2.2 Electrical engineering, Electronic engineering, Information engineering
Country of publisher Czech Republic
Confidentiality degree is not subject to a state or trade secret
RIV identification code RIV/00216224:14110/17:00100124
Organization unit Faculty of Medicine
Doi http://dx.doi.org/10.15598/aeee.v15i3.2195
UT WoS 000424330700019
Keywords in English ElectroMagnetic Interference (EMI); fetal Heart Rate (fHR); fetal PhonoCardioGraphy (fPCG); Fiber-optic sensor; maternal PhonoCardioGraphy (mPCG); Normalized Least Mean Square (NLMS) algorithm; PolyDiMethylSiloxane (PDMS)
Tags EL OK
Tags International impact, Reviewed
Changed by Changed by: Soňa Böhmová, učo 232884. Changed: 17/5/2018 13:00.
Abstract
Here we present the evaluation results of our novel noninvasive phonocardiographic-based fiberoptic sensor for fetal Heart Rate (fHR) detection using adaptive filtering and the NLMS Algorithm. The sensor uses two interferometric probes encapsulated inside a PolyDiMethylSiloxane (PDMS) polymer. Based on real data acquired from pregnant women in a suitable research laboratory environment, once they had given their written informed consents, we created a simplified dynamic signal model of the distribution of maternal and fetal heart sounds inside the maternal body. Building upon this signal model, we verified the functionality of our novel fiber-optic sensor and its associated adaptive filtering system using the NLMS Algorithm. The main reason why we chose this technology to develop our system was that it allows monitoring the fHR without exposing the fetus to any external energies or radiation (in contrast to the ultrasound-based Cardiotocography Method). We used objective criteria such as: Signal to Noise Ratios: SNRin, SNR o u t and Percentage Root-mean-square Difference (PRD) for our evaluations.
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