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Duration of epileptic seizure types: A data‐driven approach
Objective To determine the duration of epileptic seizure types in patients who did not undergo withdrawal of antiseizure medication. Methods From a large, structured database of 11 919 consecutive, routine video‐electroencephalograpy (EEG) recordings, labeled using the SCORE (Standardized Computer‐B...
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Published in: | Epilepsia (Copenhagen) 2023-02, Vol.64 (2), p.469-478 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Objective
To determine the duration of epileptic seizure types in patients who did not undergo withdrawal of antiseizure medication.
Methods
From a large, structured database of 11 919 consecutive, routine video‐electroencephalograpy (EEG) recordings, labeled using the SCORE (Standardized Computer‐Based Organized Reporting of EEG) system, we extracted and analyzed 2742 seizures. For each seizure type we determined median duration and range after removal of outliers (2.5–97.5 percentile). We used surface electromyography (EMG) for accurate measurement of short motor seizures.
Results
Myoclonic seizures last |
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ISSN: | 0013-9580 1528-1167 |
DOI: | 10.1111/epi.17492 |