Context-based automated detection of epileptogenic sharp transients in the EEG: elimination of false positives
- 1 May 1989
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Biomedical Engineering
- Vol. 36 (5), 519-527
- https://doi.org/10.1109/10.24253
Abstract
A description is given of a knowledge-based system for the elimination of false positives in the automated detection of epileptogenic sharp transients in the EEG (electroencephalogram). The system makes comprehensive use of spatial and temporal context information available on 16 channels of EEG. EKG, (electrocardiogram) EMG (electromyogram), and EOG (electrooculogram). A knowledge-based implementation is used because of the ease with which it allows the contextual rules to be expressed and refined. The resulting system is shown to be capable of rejecting a wide variety of artifacts commonly found in EEG recordings that cause numerous false positive detections in systems making less comprehensive use of context.<>Keywords
This publication has 5 references indexed in Scilit:
- A Multichannel Signal Processor for the Detection of Epileptogenic Sharp Transients in the EEGIEEE Transactions on Biomedical Engineering, 1986
- Automatic Recognition and Characterization of Epileptiform Discharges in the Human EEGJournal of Clinical Neurophysiology, 1985
- Computer-aided quantification of EEG spike and sharp wave characteristicsElectroencephalography and Clinical Neurophysiology, 1981
- Automatic recognition of inter-ictal epileptic activity in prolonged EEG recordingsElectroencephalography and Clinical Neurophysiology, 1979
- A glossary of terms most commonly used by clinical electroencephalographers : G. E. Chatrian (Chairman), L. Bergamini, M. Dondey, D. W. Klass, M. Lennox-Buchthal and I. PetersénElectroencephalography and Clinical Neurophysiology, 1974