A Multichannel Signal Processor for the Detection of Epileptogenic Sharp Transients in the EEG |
| |
| Authors: | Glover John R. Ktonas Periklis Y. Raghavan Narasimhan Urunuela Jose M. Velamuri Syama S. Reilly Edward L. |
| |
| Affiliation: | Department of Electrical Engineering, University of Houston-University Park; |
| |
| Abstract: | A high-speed multichannel signal processing system is described which is capable of performing automated detection of epileptogenic sharp transients (ST) in the electroencephalogram (EEG). The system is implemented with individually programmable microprocessors on the input channels, followed by a single-board microcomputer which correlates results obtained from each channel, and can process data played back from a tape recorder at a speed eight times the realtime recording speed. A multichannel correlation algorithm is used to enhance the performance of the system in the presence of muscle artifact (EMG). Results are presented showing that the multichannel correlation is capable of reducing, in some cases, both missed detections due to poorly defined ST's and false alarms due to EMG. |
| |
| Keywords: | |
|
|
