Quantification of injury-related EEG signal changes using Itakura distance measure

Author

Kong, Xuan ; Goel, Vaibhava ; Thakor, Nitish

Author_Institution

Dept. of Electr. Eng., Northern Illinois Univ., DeKalb, IL, USA

Volume

5

fYear

1995

fDate

9-12 May 1995

Firstpage

2947

Abstract

Accurate detection and characterization of changes in the EEG signal is crucial for clinical assessment of the neurological system condition. Several distance measures are tested and evaluated for their effectiveness of detecting injury-related changes in EEG. Itakura distance is found to be a very efficient means to characterize changes in EEG for both signaling injury and predicting recovery. The efficiency of the Itakura distance measure is further established through a comparison study of spectral distance measure and Kullback-Leibler information

Keywords

electroencephalography; medical signal processing; patient monitoring; spectral analysis; Itakura distance measure; KL information; Kullback-Leibler information; clinical assessment; injury-related EEG signal changes; injury-related changes; neurological system condition; recovery; spectral distance measure; Asphyxia; Biomedical measurements; Brain modeling; Electroencephalography; Injuries; Pediatrics; Signal processing; Speech enhancement; Speech processing; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on

Conference_Location

Detroit, MI

ISSN

1520-6149

Print_ISBN

0-7803-2431-5

Type

conf

DOI

10.1109/ICASSP.1995.479463

Filename

479463