Title :
Injury detection and signal discrimination of EEG by higher order crossings
Author :
Kong, Xuan ; Qiu, Tianshuang
Author_Institution :
Dept. of Electr. Eng., Northern Illinois Univ., DeKalb, IL, USA
fDate :
29 Oct-1 Nov 1998
Abstract :
The high order crossings (HOC) method is introduced for injury detection and EEG signal discrimination applications. Data analysis results show that the HOC-based method is very efficient for detecting possible hypoxic injuries and discriminating signals with different statistical properties
Keywords :
autoregressive processes; electroencephalography; higher order statistics; medical signal processing; signal classification; time series; EEG; autoregressive processes; higher order crossings; hypoxic injuries; injury detection; signal classification; signal discrimination; time series; zero crossings; Animals; Asphyxia; Brain injuries; Data analysis; Electroencephalography; Frequency; Low pass filters; Signal detection; Signal generators; Time series analysis;
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
Print_ISBN :
0-7803-5164-9
DOI :
10.1109/IEMBS.1998.747000
