DocumentCode :
134542
Title :
Power spectrum density brainwave sub-band characteristics in ischemic stroke
Author :
Roomali, Nurul Nadia ; Jailani, R. ; Omar, W.R.W. ; Isa, R. S. Mohd ; Taib, M.N.
Author_Institution :
Fac. of Electr. Eng., Univ. Teknol. MARA, Shah Alam, Malaysia
fYear :
2014
fDate :
7-9 March 2014
Firstpage :
242
Lastpage :
245
Abstract :
This paper characterizes three different groups of stroke level and controlled group consists of healthy subject based on power spectrum density (PSD). In this study, the EEG data sets have been collected from hundred and thirty two subjects during closed eye (CE) session with a time frame approximately 8 minutes for each subject. They are divided into 4 groups which are Early Group (EG), Intermediate Group (IG), Advance Group (AG) and Controlled Group (CG). The results show that PSD technique can be used to distinguish between the stroke subject and healthy subject.
Keywords :
electroencephalography; medical signal processing; AG; CE session; CG; EEG data set; EG; IG; PSD technique; advance group; closed eye session; controlled group; early group; healthy subject; intermediate group; ischemic stroke; power spectrum density brainwave subband characteristics; Brain; Data collection; Electrical engineering; Electrodes; Electroencephalography; Feature extraction; Signal processing; Electroencephalograph (EEG); boxplot analysis; power spectrum density; stroke;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing & its Applications (CSPA), 2014 IEEE 10th International Colloquium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4799-3090-6
Type :
conf
DOI :
10.1109/CSPA.2014.6805757
Filename :
6805757
Link To Document :
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