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 |
|---|---|
| Pages (from-to) | 1-9 |
| Number of pages | 9 |
| Journal | Electroencephalography and Clinical Neurophysiology |
| Volume | 82 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1992 |
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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)
Cite this
Long-term EEG-video-audio monitoring : computer detection of focal EEG seizure patterns. / Pauri, Flavia; Pierelli, Francesco; Chatrian, Gian Emilio; Erdly, William W.
In: Electroencephalography and Clinical Neurophysiology, Vol. 82, No. 1, 1992, p. 1-9.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Long-term EEG-video-audio monitoring
T2 - computer detection of focal EEG seizure patterns
AU - Pauri, Flavia
AU - Pierelli, Francesco
AU - Chatrian, Gian Emilio
AU - Erdly, William W.
PY - 1992
Y1 - 1992
N2 - 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.
AB - 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.
KW - Computer seizure detection
KW - EEG-video-audio monitoring
KW - Focal EEG
KW - Partial seizures
KW - Seizure signaling
KW - seizures
KW - Visual seizure detection
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UR - http://www.scopus.com/inward/citedby.url?scp=0026792341&partnerID=8YFLogxK
U2 - 10.1016/0013-4694(92)90175-H
DO - 10.1016/0013-4694(92)90175-H
M3 - Article
C2 - 1370137
AN - SCOPUS:0026792341
VL - 82
SP - 1
EP - 9
JO - Electroencephalography and Clinical Neurophysiology
JF - Electroencephalography and Clinical Neurophysiology
SN - 0013-4694
IS - 1
ER -