Title :
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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-2431-5
DOI :
10.1109/ICASSP.1995.479463
