DocumentCode
3452104
Title
AR modeling as EEG spectral analysis on prostration
Author
Salleh, N.A. ; Lim, K.S. ; Ibrahim, F.
Author_Institution
Dept. of Biomed. Eng., Univ. of Malaya, Kuala Lumpur, Malaysia
fYear
2009
fDate
14-15 Dec. 2009
Firstpage
1
Lastpage
4
Abstract
Autoregressive (AR) modeling involves selection of an appropriate model order and the estimation of model parameters from the available data. Spectral estimation is then carried out using the model parameter. This spectral analysis is chosen as an alternative method to FFT in analysis of brain wave. Muslims prayer, termed as ¿Salat¿ in the Arabic language is a worshipping act which encompasses both physical movement of the body as well as silent Quranic recitation through mind and soul. The various positions in Salat include standing, prostrating, bowing and sitting. Prostrating is one of the unique position in salat which is believed can promote a relaxation effect to human body. In this study, AR was used to analyze the EEG signals during salat on prostrating position. The result shows that prostrating during salat generated higher alpha relative power (RP¿) as compare with mimic prostration. This finding concludes that prostration, one unique position in salat may promote a remarkable relaxation state to human mind and body.
Keywords
autoregressive processes; biomechanics; brain; electroencephalography; medical signal processing; neurophysiology; physiological models; spectral analysis; EEG spectral analysis; FFT; Muslims prayer; Prostration; Salat; alpha relative power; autoregressive modeling; brain; brain wave; electrochemical organ; mimic prostration; physical movement; relaxation effect; worshipping act; Biomedical engineering; Brain modeling; Cardiac disease; Cardiovascular diseases; Data engineering; Electroencephalography; Frequency; Humans; Rhythm; Spectral analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Technical Postgraduates (TECHPOS), 2009 International Conference for
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4244-5223-1
Electronic_ISBN
978-1-4244-5224-8
Type
conf
DOI
10.1109/TECHPOS.2009.5412056
Filename
5412056
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