文章基本信息

标题：A Noise Suppression Technique for Fetal Phonocardiogram Monitoring Using Adaptive Neuro-Fuzzy Interference System
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作者：Hana Skutova ; Radek Martinek ; Rene Jaros 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：6
页码：456-461
DOI：10.1016/j.ifacol.2018.07.103
语种：English
出版社：Elsevier
摘要：AbstractFetal phonocardiography (fPCG) is a passive diagnostic method for monitoring of fetal well-being. In contrast with other fetal heart rate (FHR) monitoring methods, fPCG promises an advantage of long-term and low-cost monitoring. Due to this fact, it is even more important to obtain perfectly clear signal without unwanted noise. Low energy of fetal heart sounds in combination with higher energy of mother heart sounds, acoustic noises produced by fetal movements, uterine contractions and other ambient noises makes fPCG extraction more challenging. This paper presents a technique for noise suppression of fPCG based on artificial intelligence method, namely adaptive neuro-fuzzy interference system.
关键词：Keywordsfetus well-beingfetal phonocardiographymonitoringnoise extractionadaptive neuro-fuzzy interference systemadaptive filterartificial intelligence