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Blind Adaptive Filtering: Extraction of Fetal from Maternal ECG Early in Pregnancy.

We present a BAF (blind adaptive filtering) design to extract fetal ECG (fECG) from maternal ECG (fECG) early in pregnancy (as early as 14the week gestation). We discuss fundamental theoretical problems that are involved and which illustrate the limitation and inapplicability of ICA-based or AMUSE-based blind separation (BSS) methods to this problem and to a wide class of other problems, and which were overlooked so far. These problems relate to the very weak fetal signal that is to be extracted, in relation to both the very much stronger maternal signal and to the strong noises in which the fCCG is imbedded early in the pregnancy and which prevented such extraction until now. Solutions that are based on Blind Adaptive Filtering (BAF) theory are presented and discussed. We note that fECG extraction early in pregnancy is required for diagnosis of certain fetal cardiac defects, whose correction or alleviation depends on early extraction. We present extraction results that were obtained from both real maternal ECG data and from simulated data.

Type of Seminar:
Public Seminar
Prof. Daniel Graupe
Chicago, University of Illinois
Jun 06, 2005   15:15

ETH-Zentrum, Main Building, Room HG E 33.1
Contact Person:

Dr. Th. Keller
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Biographical Sketch:
Daniel Graupe, Ph.D., is a Professor of Electrical and Computer Engineering, Professor of Bioengineering and Adjunct Professor of Rehabilitation Medicine and Restorative Medical Sciences at the University of Illinois at Chicago where he co-directs the signal and image processing laboratory. Dr. Graupe is Life Fellow of the IEEE (Institute of Electrical and Electronics Engineers). He received his BSME and BSEE degrees from the Technion, Israel Institute of Technology, and a Ph.D. from the University of Liverpool, England. He served as Associate Editor of the IEEE Transactions on Circuits and Systems, with responsibility to Signal Processing (1989-91) and of the IEEE Transactions on Neural Systems and Rehabilitation Engineering (2002-2004). He is presently Associate Editor of the International Journal of Software Engineering and Knowledge Engineering, of Neurological Research, of Psychline and of the Newsletter of the International Association of Neurosurgical Societies. He is member of the International Council of ISBEM (International Society for Bioelectromagnetism). and of the Conference Advisory Committee of the IEEE Engineering in Medicine and Biology Society (EMBS).
Prior to joining the University of Illinois, he was Distinguished Professor and Bodine Chair Professor at Illinois Institute of Technology, Chicago. He was Attending Member of Staff (Research) of Michael Reese Hospital, Chicago, IL (1980-2001).
He authored four textbooks in his field of research, one of which was translated into Russian and another into Serbo-Kroatian and another into Chinese, while Spanish translation was recently completed. He also authored chapters in several other books and encyclopedias, 90 papers in scientific journals and 125 papers in scientific conference proceedings.
Dr. Graupe is the holder of over 20 U.S. patents and of several foreign patents, including the patents for the Parastep electrical stimulation system for ambulation by paraplegics. His Parastep functional electrical stimulation system for ambulation by paraplegics was approved in 1994 by the FDA (Food and Drug Administration, USA and is presently commercially available. It allows fully trained patients to walk 450m/walk on the average. D. Graupe was the inventor (1976) of the Zeta Blocker blind adaptive filter, incorporated in several hearing aids (e.g., Strakey Labs and others), which was the first digital system to be part of a hearing aid.