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Content Provider | IEEE Xplore Digital Library |
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Author | Zgallai, W. Sabry-Rizk, M. Hardiman, P. O'Riordan, J. |
Copyright Year | 1997 |
Description | Author affiliation: Sch. of Eng., City Univ., London, UK (Zgallai, W.) |
Abstract | This paper describes a novel detection method which utilises some 3-d unique bispectral features peculiar to mother and fetal transabdominally measured ECG signals to detect the number of occurrences of fetal heart beats within the maternal cycle frame before and during labour. The bispectrum detector requires the MUSIC super resolution spectral estimation to pin point different resonant frequencies associated with the QRS waves in each of the mother and fetal signals. Results obtained from 15 preoperative labour cases using both non-invasive "transabdominal" and fetal scalp electrodes show that the MUSIC detection in the second-order spectral domain can recover most of the fetal heart beats particularly those occurring at the same time as the mother's. The MUSIC also enhances fetal and mother ECG resonances and their harmonics. However, at a given false alarm probability due to poor signal-to-noise ratios the bispectrum of the MUSIC estimator has shown a remarkable performance not only in discriminating against impulsive non-Gaussian and transient noise but also against the mother ECG relatively strong harmonics at the fetal QRS frequencies. |
Starting Page | 72 |
Ending Page | 75 |
File Size | 395820 |
Page Count | 4 |
File Format | |
ISBN | 0780342623 |
ISSN | 1094687X |
DOI | 10.1109/IEMBS.1997.754466 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 1997-10-30 |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Detectors Multiple signal classification Electrocardiography Frequency estimation Fetal heart Signal to noise ratio Signal detection Signal resolution Resonant frequency Scalp |
Content Type | Text |
Resource Type | Article |
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