Conference PaperPDF Available

Extraction of Fetal Heart Sound Signals using Independent Component Analysis

March 2010

Conference: International Conference on “Computational Intelligence Applications 2010 (ICCIA-10)
At: Nashik, Maharashtra, India

Authors:

Rajiv Vasantrao Dharaskar

Director, IIIT Kottayam, Kerala, India Institute of National Importance

In this paper a new method to extract the fetal heart sound signal from the abdominal phonocardiogram (PCG) is presented. Phonocardiography is a low-cost, passive, non-invasive way of recording heart sounds and murmurs. As this technique, consists of recording acoustic signal on the maternal abdominal surface; it is heavily loaded by noise and hence determination of the fetal heart rate (FHR) raises serious signal processing issues. In this paper we propose a method which uses a variant of fast independent components analysis (fastICA), EFICA: a Blind Source Separation (BSS) technique for the fetal PCG extraction.

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Fetal Phonocardiograph Extraction by Independent Component Analysis

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Phonocardiography is a low-cost, passive and fully non-invasive technique that amplifies faint, low frequency sounds of blood flowing through the heart and great vessels and its recording by means of a microphone-transducer. As in this technique, the acoustic signal needs to be recorded on the maternal abdominal surface, it is heavily loaded by noise and hence determination of the fetal heart ... [Show full abstract] rate (FHR) raises serious signal processing issues. The development of an accurate and robust fetal phonocardiograph (fPCG) has been since long a challenge. This paper presents a novel approach for extraction and separation of the fetal heart sound(FHS) using blind source separation method in time and frequency domain. .

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A valuable alternative to traditional diagnostic tool to record fetal heart rate, to monitor the general fetal well-being, is fetal phonocardiography, a passive and low cost acoustic recording of fetal heart sounds. In this paper, it is presented a simulating software of fetal phonocardiographic signals relative to different fetal physiological states and recording conditions (for example ... [Show full abstract] different kinds and levels of noise). This software can be useful to test and assess fetal heart rate extraction algorithms from fetal phonocardiographic recordings and as a teaching tool for demonstration to medical students and others.

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Dual transmission model and related spectral content of the fetal heart sounds

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A dual transmission model of the fetal heart sounds is presented in which the properties of the signals received on a sensor, installed on the maternal abdominal surface, depend upon the position of the fetus. For a fetus in the occiput anterior position, the predominant spectral content lies in the frequency band 16-50Hz ("impact" mode), but for a fetus in the occiput posterior position, it lies ... [Show full abstract] in the frequency band 80-110Hz ("acoustic" mode). Signal processing comprises digital bandpass filtering, matched filtering, Teager energy operator, autocorrelation, and figure of merit algorithms. The digital filter permits the user to select the frequency band that best conforms to the prevailing signal mode. Clinical tests on twelve patients, with some in the occiput anterior and some in the occiput posterior fetal positions, support the validity of the dual transmission model.

Conference Paper

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Processing Fetal Phonocardiograph- A Single Channel BSS Approach

August 2010

In this paper a novel method for extracting the fetal heart sound signals from the recorded single channel abdominal phonocardiogram (PCG) is presented. Phonocardiography is a low cost, passive, non-invasive way of recording heart sounds and murmurs. Phonocardiography consists of recording acoustic signal of the maternal abdominal surface; and hence the recordings are heavily loaded by noise. ... [Show full abstract] Because of this determination of the fetal heart rate (FHR) raises serious signal processing issues. We here propose a novel scheme of Blind Source Separation (BSS) technique for the fetal PCG extraction from the single channel recorded noisy abdominal phonographs. This presented method is the combination of the Empirical Mode Decomposition (EMD), Singular Value decomposition (SVD) and Indiependent Component Analysis (ICA).