AR modeling as EEG spectral analysis on prostration

• Main Authors: Salleh, N.A., Lim, K.S., Ibrahim, F.
• Format: Conference or Workshop Item
• Language: English
• Published: 2009
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/9260/1/AR_modeling_as_EEG_spectral_analysis_on_prostration.pdf; http://eprints.um.edu.my/9260/; http://www.scopus.com/inward/record.url?eid=2-s2.0-77950977586&partnerID=40&md5=88884659be7ea928faa080a07df40f3c ieeexplore.ieee.org/xpls/absall.jsp?arnumber=5412056

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 (RPα) 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.