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dc.contributor.authorPanason Manorosten_US
dc.contributor.authorNipon Theera-Umponen_US
dc.contributor.authorSansanee Auephanwiriyakulen_US
dc.description.abstract© 2017 IEEE. Electrocardiogram (ECG) is one of the most important health measurement methods to present the states of heartbeat as well as provide insights into the abnormalities of patients' health. In this work, we extract fetal ECG from the abdominal signals in Abdominal and Direct Fetal Electrocardiogram database by independent component analysis (ICA) to give the information about their health or state of heart. With ICA, maternal ECG and fetal ECG will be independently separated and the results are compared with fetal heart rate signal. Another distinctive feature of this paper is the coefficient function which is used for maternal ECG reduction. The weight function can reduce the maternal R-peaks and it is good for the abdominal signals where maternal R-peaks are dominant. The experimental results show that the extracted fetal signals have distinct fetal R-peaks. Although these signals are still interfered by EMG signals, their quality is rather impressive for fetal heart rate detection as the average of the accuracy can be achieved at 90.43%.en_US
dc.subjectChemical Engineeringen_US
dc.subjectComputer Scienceen_US
dc.titleFetal electrocardiogram extraction by independent component analysisen_US
dc.typeConference Proceedingen_US
article.title.sourcetitleProceedings - 7th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2017en_US
article.volume2017-Novemberen_US Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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