J 2017

NONINVASIVE FETAL HEART RATE MONITORING: VALIDATION OF PHONOCARDIOGRAPHY-BASED FIBER-OPTIC SENSING AND ADAPTIVE FILTERING USING THE NLMS ALGORITHM

NEDOMA, Jan, Marcel FAJKUS, Stanislav KEPAK, Jakub CUBIK, Radana KAHANKOVA et. al.

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

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

20200 2.2 Electrical engineering, Electronic engineering, Information engineering

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

RIV identification code

RIV/00216224:14110/17:00100124

Organization unit

Faculty of Medicine

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

Tags

International impact, Reviewed
Změněno: 17/5/2018 13:00, Soňa Böhmová

Abstract

V originále

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.