Automatic filter selection for Hilbert autocorrelation and cyclic repetition frequency based fPCG analysis

Bhaskaran, A and Arora, M (2024) Automatic filter selection for Hilbert autocorrelation and cyclic repetition frequency based fPCG analysis. In: Biomedical Signal Processing and Control, 92 .

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Abstract

Background and Objectives: Fetal phonocardiography (fPCG) is a passive and non-invasive technique for measuring fetal heart rate. Due to the presence of external and internal noises, filtering is mandatory to obtain clinically usable signals from fPCG recordings. Frequency characteristics of the fPCG signal recorded from the mother's abdomen change with fetal parameters like gestation week, fetal position, etc. This makes the choice of filter frequencies challenging and unproductive. Therefore, our aim is to develop automatic filter selection based on fetal heart sounds characteristics. Methods: This work presents algorithms for the automatic filter selection based on fPCG signal characteristics. The automatic filter selection algorithms are coupled with fetal heart rate estimation algorithms based on Hilbert-autocorrelation and cyclic repetition frequency. Three performance measures are determined to test the algorithms: accuracy, reliability, and success rate. Results: The automatic filter selection show significant improvement in success rate when compared with manually selected fixed frequency band filters. The success rate improves from 79 to 93 for Hilbert-autocorrelation based algorithm and 71 to 90 for cyclic repetition frequency-based algorithm. Conclusion: Automated filter selection could enable robust automated estimation of fetal heart rate from fPCG recordings across variety of clinical settings. © 2024

Item Type:	Journal Article
Publication:	Biomedical Signal Processing and Control
Publisher:	Elsevier Ltd
Additional Information:	The copyright for this article belongs to the Elsevier Ltd.
Keywords:	Cardiology; Fetal monitoring; Frequency estimation; Heart; Neonatal monitoring; Phonocardiography, Auto correlation; Automatic filter selection; Automatic filters; Cyclic repetition; Cyclic repetition frequency; Fetal phonocardiography; FHR; Filter selection; Hilbert; Hilbert-autocorrelation; Repetition frequency, Autocorrelation, algorithm; Article; autocorrelation; automation; bandwidth; blind source separation; controlled study; correlation function; feature extraction; female; fetus; fetus echography; fetus heart; fetus heart rate; fetus movement; Fourier transform; gestational age; heart sound; Hilbert transform; human; intrinsic mode function; mean absolute error; mean squared error; phonocardiography
Department/Centre:	Division of Mechanical Sciences > Department of Design & Manufacturing (formerly Centre for Product Design & Manufacturing)
Date Deposited:	24 Apr 2024 05:43
Last Modified:	24 Apr 2024 05:43
URI:	https://eprints.iisc.ac.in/id/eprint/84606

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