DocumentCode
333648
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
Volume
4
fYear
1998
fDate
29 Oct-1 Nov 1998
Firstpage
2016
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location
Hong Kong
ISSN
1094-687X
Print_ISBN
0-7803-5164-9
Type
conf
DOI
10.1109/IEMBS.1998.747000
Filename
747000
Link To Document