DocumentCode
1820864
Title
Abdominal Signals: Denoising by Application of the Event Synchronuous Canceller
Author
Taralunga, D. ; Wolf, W. ; Strungaru, R. ; Ungureanu, G.M.
Author_Institution
Politeh. Univ. of Bucharest, Bucharest
fYear
2007
fDate
22-26 Aug. 2007
Firstpage
566
Lastpage
569
Abstract
The electrical activity recorded on the abdomen during pregnancy and labor (abdominal signals, ADS) contains vital information about the health state of both mother and fetus. The most important signal related with the health of fetus, extensively studied by now, is the fetal ECG (fECG) which allows physicians to examine the evolution of the fetus and to identify possible heart diseases of fetus. The movement of the fetus which shows up in the electrohysterogram (EHG), extracted from ADS, indicates a normal pregnancy. This paper presents a method of removing the maternal ECG (mECG) from ADS in order extract the EHG and to obtain information about the uterine contractions and fetal movements. After removing the mECG and the fECG, the ADS, filtered in the frequency range of the uterine activity, is further used to predict labor or preterm labor. The ADS, cleaned from the mECG allows also the analysis of the fECG for fetal monitoring.
Keywords
electrocardiography; electromyography; medical signal processing; obstetrics; signal denoising; abdominal signals; contractions; electrical activity; electrohysterogram; event synchronuous canceller; fetal ECG; fetal monitoring; fetal movements; filtering method; heart diseases; maternal ECG; pregnancy; signal denoising; uterine; Abdomen; Cardiac disease; Data mining; Electrocardiography; Fetus; Frequency; Monitoring; Noise reduction; Pregnancy; Signal processing; Automatic Data Processing; Electrocardiography; Female; Fetal Monitoring; Fetal Movement; Humans; Pregnancy; Uterine Contraction;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location
Lyon
ISSN
1557-170X
Print_ISBN
978-1-4244-0787-3
Type
conf
DOI
10.1109/IEMBS.2007.4352353
Filename
4352353
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