Methods Inf Med 2000; 39(02): 171-174
DOI: 10.1055/s-0038-1634270
Original Article
Schattauer GmbH

Injury Detection for Central Nervous System via EEG with Higher Order Crossing-based Methods

X. Kong
1  Department of Electrical Engineering, Northern Illinois University, De Kalb, IL, USA
,
T. Qiu
1  Department of Electrical Engineering, Northern Illinois University, De Kalb, IL, USA
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Publikationsverlauf

Publikationsdatum:
07. Februar 2018 (online)

Abstract:

Higher order crossing (HOC) is a powerful tool for time series analysis. Two HOC-based EEG analysis methods are developed for brain injury detection and quantification. The first method explores EEG spectrum characteristics via an estimate of the dominant frequency of a pre-processed EEG signal. The second method is based on the norm of the AHOC, an HOC obtained from the -filter prefiltered EEG signal. Both methods are shown to be effective in detecting hypoxic/asphyxic injuries as well as assessing the severity of the injury.