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Proceedings Paper

Processing of fetal heart rate through non-invasive adaptive system based on recursive least squares algorithm
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Paper Abstract

In this article, we describe an innovative non-invasive method of Fetal Phonocardiography (fPCG) using fiber-optic sensors and adaptive algorithm for the measurement of fetal heart rate (fHR). Conventional PCG is based on a noninvasive scanning of acoustic signals by means of a microphone placed on the thorax. As for fPCG, the microphone is placed on the maternal abdomen. Our solution is based on patent pending non-invasive scanning of acoustic signals by means of a fiber-optic interferometer. Fiber-optic sensors are resistant to technical artifacts such as electromagnetic interferences (EMI), thus they can be used in situations where it is impossible to use conventional EFM methods, e.g. during Magnetic Resonance Imaging (MRI) examination or in case of delivery in water. The adaptive evaluation system is based on Recursive least squares (RLS) algorithm. Based on real measurements provided on five volunteers with their written consent, we created a simplified dynamic signal model of a distribution of heartbeat sounds (HS) through the human body. Our created model allows us to verification of the proposed adaptive system RLS algorithm. The functionality of the proposed non-invasive adaptive system was verified by objective parameters such as Sensitivity (S+) and Signal to Noise Ratio (SNR).

Paper Details

Date Published: 26 October 2017
PDF: 5 pages
Proc. SPIE 10440, Optical Materials and Biomaterials in Security and Defence Systems Technology XIV, 104400S (26 October 2017); doi: 10.1117/12.2278231
Show Author Affiliations
Marcel Fajkus, VŠB-Technical Univ. of Ostrava (Czech Republic)
Jan Nedoma, VŠB-Technical Univ. of Ostrava (Czech Republic)
Radek Martinek, VŠB-Technical Univ. of Ostrava (Czech Republic)
Vladimir Vasinek, VŠB-Technical Univ. of Ostrava (Czech Republic)


Published in SPIE Proceedings Vol. 10440:
Optical Materials and Biomaterials in Security and Defence Systems Technology XIV
Roberto Zamboni; François Kajzar; Attila A. Szep; Katarzyna Matczyszyn, Editor(s)

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