Seizure Detection by Fractal Dimensions Measurement in Long-Term Automated Video-EEG Monitoring: A Preliminary Report
作者:
TheodoreHerbert R.,
HaasLindsay F.,
WilkinsonValerie A.,
期刊:
American Journal of EEG Technology
(Taylor Available online 1992)
卷期:
Volume 32,
issue 4
页码: 290-294
ISSN:0002-9238
年代: 1992
DOI:10.1080/00029238.1992.11080419
出版商: Taylor&Francis
关键词: Automatic seizure recognition;fractal dimensions
数据来源: Taylor
摘要:
ABSTRACT.A simple introduction to the concept of fractal dimensions and their use in EEG long-term video-EEG monitoring is discussed. This method detects primary and secondary generalized seizures and distinguishes them from pseudoseizures and complex partial seizures without secondary generalization and purely artifactual activity. The fractal values of physiological artifacts, e.g., chewing, laughing, are different from those obtained from raw EEG but similar to seizure activity. However, when electrodes became dislodged during a seizure a high fractal dimension in excess of that used to trigger the seizure alarm occurred. Inspection of the video allows ready separation of artifactual activity in a nonseizure situation from that created by generalized seizures.
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