title: Extraction of foetal ECG by combination of singular value decomposition and neuro-fuzzy inference system.
abstract: Extraction of foetal ECG that is embedded in the maternal ECG is a challenging problem. This paper presents a combined system to extract foetal ECG from maternal abdominal ECG. The system uses a combination of singular value decomposition (SVD) and a neuro-fuzzy inference system. The SVD is used to construct two reference signals, while the fuzzy system is used as an adaptive canceller. The algorithm is applied on synthetic as well as real data and the results are presented. In addition, the paper presents an example of using the same system as a noise removal tool.
authors.affiliation: Electronics Engineering Department, Hijjawi Faculty for Engineering Technology, Yarmouk University, Irbid, Jordan.
authors.forename: A
authors.initials: A
authors.lastname: Al-Zaben
authors.forename: A
authors.initials: A
authors.lastname: Al-Smadi
mesh_terms: D000465:Algorithms; D016477:Artifacts; D004562:Electrocardiography / Q000379:methods*; D005260:Female; D005318:Fetal Heart / Q000000981:diagnostic imaging*; D005323:Fetal Monitoring / Q000379:methods*; D006801:Humans; D008955:Models, Cardiovascular; D015233:Models, Statistical; D011247:Pregnancy; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D013997:Time Factors; D014463:Ultrasonography