DocumentCode
607000
Title
Assessment of acute ischemic stroke brainwave using Relative Power Ratio
Author
Omar, W.R.W. ; Jailani, R. ; Taib, M.N. ; Isa, R.M. ; Sharif, Z.
Author_Institution
Fac. of Electr. Eng., Univ. Teknol. MARA, Shah Alam, Malaysia
fYear
2013
fDate
8-10 March 2013
Firstpage
310
Lastpage
313
Abstract
This paper examines the brainwave sub-band characteristics for three different group of stroke level based on the Relative Power Ratio (RPR) techniques. The EEG data sets have been collected from seventy four stroke patients with open eyes (OE) session. From these sessions, the sub-band RPR were calculated and further analysis is perform to determine the brainwave characteristics due to group stroke level. The results show that by implementing RPR technique, the pattern of group stroke level, especially in the cognitive or thinking abilities can be clearly observed. It can be concluded that the value for beta ratio is higher for Advance Group (AG) compare to Intermediate Group (IG) and Early Group (EG). In contrast alpha ratio for EG have higher value compared to AG and IG stroke level. This indicates that the PSD ratios can discriminate the characteristics of brainwaves for group stroke level assessment.
Keywords
cognition; electroencephalography; medical disorders; medical signal processing; spectral analysis; AG stroke level; Advance Group; EEG data; EG stroke level; Early Group; IG stroke level; Intermediate Group; PSD ratio; acute ischemic stroke brainwave; alpha ratio; beta ratio; brainwave characteristics; brainwave sub-band characteristics; cognitive ability; group stroke level pattern; open eyes session; power spectral density; relative power ratio techniques; sub-band RPR; thinking ability; Correlation; Data collection; Electrodes; Electroencephalography; Oscillators; Signal processing; Sleep; EEG; power ratio; power spectral density; stroke;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and its Applications (CSPA), 2013 IEEE 9th International Colloquium on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4673-5608-4
Type
conf
DOI
10.1109/CSPA.2013.6530062
Filename
6530062
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