Abstract
The continuous monitoring of fetal heart condition during pregnancy and labor is of great clinical importance. The cardiac electrical activity of the fetus (FECG) may be recorded by means of surface abdominal electrodes. The signal is severely contaminated by the maternal cardiac signal (MECG). FECG enhancement is usually performed by FIR adaptive filtering. A new W FECG enhancement system is suggested and evaluated. In order to avoid convergence into local extremum, the system employs genetic algorithm (GA). Two architectures are considered. The first is a combination of adaptive filter and GA where the GA is recruited whenever the adaptive filter is suspected of reaching a local extremum . The second is an independent GA search. The hybrid ER-GA was shown to be superior to the conventional FIR adaptive filtering.
Original language | English |
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Pages (from-to) | 2335-2338 |
Number of pages | 4 |
Journal | Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing |
Volume | 4 |
DOIs | |
State | Published - 1 Jan 1999 |
Event | Proceedings of the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-99) - Phoenix, AZ, USA Duration: 15 Mar 1999 → 19 Mar 1999 |
ASJC Scopus subject areas
- Software
- Signal Processing
- Electrical and Electronic Engineering