Passive fetal monitoring by adaptive wavelet denoising method

  • Authors:

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

  • Affiliations:

  • Department of Biomedical Engineering, Ben Gurion University of the Negev, Beer Sheva 84105, Israel;Department of Obstetrics & Gynecology, Soroka University Medical Center, Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva 84101, Israel;Department of Obstetrics & Gynecology, Soroka University Medical Center, Faculty of Health Sciences, Ben Gurion University of the Negev, Beer Sheva 84101, Israel;Department of Electrical and Computer Engineering, Ben Gurion University of the Negev, Beer Sheva 84105, Israel

  • Venue:
  • Computers in Biology and Medicine
  • Year:
  • 2012

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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.