DocumentCode :
1216358
Title :
A Microprocessor-Based System for Diagnosis of Cognitive Dysfunction
Author :
Raghavan, Narasimhan ; Glover, John R., Jr. ; Sheer, Daniel E.
Author_Institution :
Department of Electrical Engineering, University of Houston
Issue :
10
fYear :
1986
Firstpage :
942
Lastpage :
948
Abstract :
Memory impairment has been associated with a deficit in a functional component of attention termed "focused arousal." Short, aperiodic bursts of EEG activity in a narrow frequency band (36¿44 Hz) centered at 40 Hz have been established as an indicator of this state of "focused arousal." A measure of this 40 Hz EEG activity could be very useful in the diagnosis of different types of cognitive dysfunction. Automated detection of the 40 Hz bursts is seriously hampered by the presence of high amplitude EMG signals from the scalp muscles and by the low amplitude of the 40 Hz EEG.
Keywords :
Alzheimer´s disease; Electroencephalography; Electromyography; Frequency; Microprocessors; Muscles; Problem-solving; Psychology; Scalp; Signal analysis; Alzheimer Disease; Biomedical Engineering; Cognition Disorders; Diagnosis, Computer-Assisted; Electroencephalography; Humans;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.1986.325665
Filename :
4122181
Link To Document :
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