Abstract
Twelve individuals with medically refractory partial seizures had undergone EEG-video-audio (EVA) monitoring over 1-15 (mean 10.5) days. We selectively reexamined available 15-channel EEGs (video-cassettes) totaling 461 h and containing 253 EEG focal seizures. Computer analysis (CA) of these bipolar records was performed using a mimetic method of seizure detection at 6 successive computer settings. We determined the computer parameters at which this method correctly detected a reasonably large percentage of seizures (81.42%) while generating an acceptable rate of false positive results (5.38/h). These parameters were adopted as the default setting for identifying focal EEG seizure patterns in all subsequent long-term bipolar scalp and sphenoidal recordings. Factors hindering or facilitating automatic seizure identification are discussed. It is concluded that on-line computer detection of focal EEG seizure patterns by this method offers a satisfactory alternative to and represents a distinct improvement over the extremely time consuming and fatiguing off-line fast visual review (FVR). Combining CA with seizure signaling (SS) by the patients and other observers increased the correct detections to 85.38%. CA is best used in conjuncton with SS.
Original language | English |
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Pages (from-to) | 1-9 |
Number of pages | 9 |
Journal | Electroencephalography and Clinical Neurophysiology |
Volume | 82 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1992 |
Keywords
- Computer seizure detection
- EEG-video-audio monitoring
- Focal EEG
- Partial seizures
- Seizure signaling
- seizures
- Visual seizure detection
ASJC Scopus subject areas
- Clinical Neurology
- Neuroscience(all)