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.
authors.affiliation: Department of Biomedical Engineering, Ben Gurion University of the Negev, Beer Sheva, Israel.
authors.forename: Sergey
authors.initials: S
authors.lastname: Vaisman
authors.forename: Shimrit Yaniv
authors.initials: SY
authors.lastname: Salem
authors.forename: Gershon
authors.initials: G
authors.lastname: Holcberg
authors.forename: Amir B
authors.initials: AB
authors.lastname: Geva
mesh_terms: D000465:Algorithms; D005260:Female; D005323:Fetal Monitoring / Q000379:methods*; D006340:Heart Rate, Fetal / Q000502:physiology*; D006801:Humans; D010701:Phonocardiography / Q000379:methods*; D011247:Pregnancy; D058067:Wavelet Analysis