Passive fetal monitoring by adaptive wavelet denoising method

Sergey Vaisman; Shimrit Yaniv Salem; Gershon Holcberg; Amir B. Geva

doi:10.1016/j.compbiomed.2011.11.005

Passive fetal monitoring by adaptive wavelet denoising method

Sergey Vaisman, Shimrit Yaniv Salem, Gershon Holcberg, Amir B. Geva

Department of Electrical & Computer Engineering

Research output: Contribution to journal › Article › peer-review

42 Scopus citations

Abstract

Fetal Heart Rate (FHR) monitoring is one of the most important fetal well being tests. Existing FHR monitoring methods are based on Doppler ultrasound technique, which has several disadvantages. Passive fetal monitoring by phonocardiography is an appropriate alternative; however, its implementation is a challenging task due to low energy of fetal heart sounds and multiple interference signals presence. In this paper, an advanced signal processing method for passive fetal monitoring based on adaptive wavelet denoising is presented. The method's performance is compared with Doppler ultrasound monitor. The results show 94-97.5% accuracy, including highly disturbed cases.

Original language	English
Pages (from-to)	171-179
Number of pages	9
Journal	Computers in Biology and Medicine
Volume	42
Issue number	2
DOIs	https://doi.org/10.1016/j.compbiomed.2011.11.005
State	Published - 1 Feb 2012

Keywords

Feature extraction
Fetal heart rate
Fetal heart sounds
Fetal monitoring
Phonocardiography
Wavelet denoising
Wavelets

ASJC Scopus subject areas

Health Informatics
Computer Science Applications

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10.1016/j.compbiomed.2011.11.005

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title = "Passive fetal monitoring by adaptive wavelet denoising method",

abstract = "Fetal Heart Rate (FHR) monitoring is one of the most important fetal well being tests. Existing FHR monitoring methods are based on Doppler ultrasound technique, which has several disadvantages. Passive fetal monitoring by phonocardiography is an appropriate alternative; however, its implementation is a challenging task due to low energy of fetal heart sounds and multiple interference signals presence. In this paper, an advanced signal processing method for passive fetal monitoring based on adaptive wavelet denoising is presented. The method's performance is compared with Doppler ultrasound monitor. The results show 94-97.5% accuracy, including highly disturbed cases.",

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AU - Yaniv Salem, Shimrit

AU - Holcberg, Gershon

AU - Geva, Amir B.

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AB - Fetal Heart Rate (FHR) monitoring is one of the most important fetal well being tests. Existing FHR monitoring methods are based on Doppler ultrasound technique, which has several disadvantages. Passive fetal monitoring by phonocardiography is an appropriate alternative; however, its implementation is a challenging task due to low energy of fetal heart sounds and multiple interference signals presence. In this paper, an advanced signal processing method for passive fetal monitoring based on adaptive wavelet denoising is presented. The method's performance is compared with Doppler ultrasound monitor. The results show 94-97.5% accuracy, including highly disturbed cases.

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KW - Fetal heart sounds

KW - Fetal monitoring

KW - Phonocardiography

KW - Wavelet denoising

KW - Wavelets

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Passive fetal monitoring by adaptive wavelet denoising method

Abstract

Keywords

ASJC Scopus subject areas

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