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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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