DocumentCode
1793816
Title
Sleep wake transition using relative spike amplitude
Author
Sriraam, N. ; Purnima, B.R.
Author_Institution
Center for Med. Electron. & Comput., M.S. Ramaiah Inst. of Technol., Bangalore, India
fYear
2014
fDate
7-8 Nov. 2014
Firstpage
437
Lastpage
441
Abstract
The transition between the wakefulness-sleep using Electroencephalogram (EEG) signal provides a quantitative indication of asynchronous development of sleep in cortical areas of brain. In order to characterize the transition between wake and sleep, several attempt have been made by neurophysiologists in coordination with bio medical research community. This work attempts to investigate the effect of time-domain attribute, relative spike amplitude on characterizing the first two sleep stages wake and sleep stage-1. EEG´s derived from polysomnography data are segmented into 1 second pattern and variable thresholding is introduced to understand the influence on the relative spike amplitude. The statistical analysis using Wilcoxon model was applied on each group to study whether observed difference is significant from variance obtained. From the simulation study, it was found that the RSA with 50% and 75% thresholding showed significant difference between wake and sleep stage 1 with p<;0.05. The results suggest that RSA can be used as a potential timedomain feature for recognizing the transition between wake and sleep.
Keywords
electroencephalography; neurophysiology; sleep; statistical analysis; EEG signal; Wilcoxon model; electroencephalogram signal; polysomnography data; relative spike amplitude; sleep wake transition; statistical analysis; Biomedical imaging; Communication systems; Electroencephalography; Feature extraction; Sleep; Statistical analysis; Time-domain analysis; EEG; Polysomnography; Relative Spike amplitude; Sleep; Wilcoxon test;
fLanguage
English
Publisher
ieee
Conference_Titel
Medical Imaging, m-Health and Emerging Communication Systems (MedCom), 2014 International Conference on
Conference_Location
Greater Noida
Print_ISBN
978-1-4799-5096-6
Type
conf
DOI
10.1109/MedCom.2014.7006048
Filename
7006048
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