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
Link To Document :
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