title: Injury detection for central nervous system via EEG with higher order crossing-based methods.
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 alpha-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.
authors.affiliation: Department of Electrical Engineering, Northern Illinois University, De Kalb, USA. Kong@ceet.niu.edu
authors.forename: X
authors.initials: X
authors.lastname: Kong
authors.forename: T
authors.initials: T
authors.lastname: Qiu
mesh_terms: D000818:Animals; D000831:Animals, Newborn; D001238:Asphyxia Neonatorum / Q000175:diagnosis* / Q000503:physiopathology; D001921:Brain / Q000503:physiopathology; D001925:Brain Damage, Chronic / Q000175:diagnosis* / Q000503:physiopathology; D001931:Brain Mapping; D003936:Diagnosis, Computer-Assisted; D004569:Electroencephalography; D005583:Fourier Analysis; D006801:Humans; D007231:Infant, Newborn; D012815:Signal Processing, Computer-Assisted; D013552:Swine