DocumentCode :
1857296
Title :
Maternal and fetal heart rate extraction from abdominal recordings using multi-scale principal components analysis
Author :
Karvounis, E.C. ; Fotiadis, D.I.
Author_Institution :
Univ. of Ioannina, Ioannina
fYear :
2007
fDate :
22-26 Aug. 2007
Firstpage :
6507
Lastpage :
6510
Abstract :
A three-stage methodology for the extraction of maternal and fetal heart rate using abdominal ECG leads, is presented. In the first stage, the maternal R-peaks and fiducial points (maternal QRS onset and offset) are detected, using multiscale principal components analysis (MSPCA) and the smoothed nonlinear energy operator (SNEO). Maternal fiducial points are used to eliminate the maternal QRS complexes from the abdominal ECG recordings. In the second stage, again MSPCA and SNEO are employed in order to detect the fetal heart beats that do not overlap with the maternal QRSs (eliminated from the first stage). The extraction of the fetal heart rate is accomplished in the last stage, using a histogram based technique in order to identify the positions of the fetal heart beats that overlap with the maternal QRSs. Real signals, recorded from different pregnant women and different weeks of gestation, are used for the evaluation of the proposed methodology and the obtained results indicate high performance (accuracy 95%).
Keywords :
cardiovascular system; electrocardiography; feature extraction; medical signal detection; principal component analysis; abdominal ECG; abdominal recordings; fetal heart rate extraction; maternal QRS offset; maternal QRS onset; maternal fiducial points; maternal heart rate extraction; multiscale principal components analysis; smoothed nonlinear energy operator; Abdomen; Data mining; Electrocardiography; Fetal heart; Fetal heart rate; Histograms; Materials science and technology; Pregnancy; Principal component analysis; Source separation; Electrocardiography; Female; Fetal Monitoring; Heart Rate; Heart Rate, Fetal; Humans; Pregnancy; Principal Component Analysis; Signal Processing, Computer-Assisted;
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.2007.4353850
Filename :
4353850
Link To Document :
بازگشت