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Author Alaraj, M. ♦ Fukami, T.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2013
Language English
Subject Domain (in DDC) Technology ♦ Medicine & health ♦ Engineering & allied operations
Subject Keyword Electroencephalography ♦ Complexity theory ♦ Vectors ♦ Indexes ♦ Rhythm ♦ Entropy ♦ Time series analysis
Abstract Fully awake state of the subjects tends to be an early drowsy state as a result from the prolonged time of electroencephalography (EEG) measurements. Such situations can complicate the interpretation of EEG signals and hence, the wakefulness of the subject should be considered in the inspection. Thus, in the present study, a new index for quantitative evaluation of the wakefulness (whether either early drowsy or fully awake) state of subjects by using a complexity-based decision threshold value was developed. The proposed index was based on approximate entropy (ApEn) to quantify the complexity metric, but with new parameter values by using a new systematic approach. This index was evaluated using occipital-alpha rhythm during eye closure for 45 healthy adult subjects for each one of two groups: fully awake and drowsy groups. Our index could show more superiority than other conventional spectral-based indices used for evaluating the wakefulness state of subjects including relative delta sub band power (R.δ), relative theta sub band power (R.θ), power ratio between theta and alpha $(P_{θ/α}),$ and between theta and beta $(P_{θ/β})$ over occipital lobe. Our index is superior than R.δ, R.θ, $P_{θ/α}$ and $P_{θ/β}$ with 10%, 5.5%, 8.9% and 24.4% respectively.
Description Author affiliation: Electr. Eng. & Inf., Yamagata Univ., Yonezawa, Japan (Alaraj, M.; Fukami, T.)
ISBN 9781457702167
ISSN 1557170X
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2013-07-03
Publisher Place Japan
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 818.99 kB
Page Count 4
Starting Page 6175
Ending Page 6178

Source: IEEE Xplore Digital Library