DocumentCode :
2093348
Title :
EEG analysis of frontal lobe area in arousal maintenance state against sleepiness
Author :
Yoshida, Hiroyuki ; Tanaka, Yuichi ; Kikkawa, S.
Author_Institution :
Dept. of Comput. Syst. Biol., Kinki Univ., Wakayama, Japan
fYear :
2012
fDate :
Aug. 28 2012-Sept. 1 2012
Firstpage :
2933
Lastpage :
2936
Abstract :
This paper describes EEG analysis of frontal lobe area in arousal maintenance state against sleepiness. Arousal maintenance state is considered different physiological state from the normal sleep onset. To analyze the EEG of frontal area might be important because we believe that the arousal maintenance state against sleepiness causes neuron activities from the frontal lobe, which coordinates behavior, to hypothalamus, which coordinates wakefulness and sleep. It is, however, hard to use EEG signals in the frontal area consistently because blinking artifacts are mixed in the EEG signals. In this paper, we have analyzed the EEG signals of the frontal lobe in arousal maintenance state against sleepiness after removing the eye-blinking artifact from the scalp EEG signals using an ICA denoising method. As a result, the EEG signals of the frontal area in the arousal maintenance state against sleepiness have wide bandwidth as in the EEG of the occipital area. It strengthens our speculation, i.e., the EEG desynchronization occurs because of the neuron activities from the frontal lobe to hypothalamus in order to maintain arousal state against sleepiness.
Keywords :
biomechanics; electroencephalography; eye; medical signal processing; neurophysiology; signal denoising; signal reconstruction; sleep; synchronisation; EEG analysis; EEG signals; ICA denoising method; arousal maintenance state; desynchronization; eye-blinking artifact; frontal lobe area; hypothalamus; neuron activities; normal sleep onset; occipital area; physiological state; signal reconstruction; sleepiness; Bandwidth; Conferences; Electroencephalography; Maintenance engineering; Neurons; Sleep; Time frequency analysis; Desynchronization; EEG analysis; ICA; Instantaneous Equivalent Bandwith; wakefulness maintenance state; Algorithms; Electroencephalography; Frontal Lobe; Humans; Sleep Stages; Wakefulness;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/EMBC.2012.6346578
Filename :
6346578
Link To Document :
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