Nonlinear analysis of EEG signals at different mental states.

Full Abstract

BACKGROUND: The EEG (Electroencephalogram) is a representative signal containing information about the condition of the brain. The shape of the wave may contain useful information about the state of the brain. However, the human observer can not directly monitor these subtle details. Besides, since bio-signals are highly subjective, the symptoms may appear at random in the time scale. Therefore, the EEG signal parameters, extracted and analyzed using computers, are highly useful in diagnostics. This work discusses the effect on the EEG signal due to music and reflexological stimulation. METHODS: In this work, nonlinear parameters like Correlation Dimension (CD), Largest Lyapunov Exponent (LLE), Hurst Exponent (H) and Approximate Entropy (ApEn) are evaluated from the EEG signals under different mental states. RESULTS: The results obtained show that EEG to become less complex relative to the normal state with a confidence level of more than 85% due to stimulation. CONCLUSIONS: It is found that the measures are significantly lower when the subjects are under sound or reflexologic stimulation as compared to the normal state. The dimension increases with the degree of the cognitive activity. This suggests that when the subjects are under sound or reflexologic stimuli, the number of parallel functional processes active in the brain is less and the brain goes to a more relaxed state

Author information

Author/s: Natarajan, Kannathal (K); Acharya U, Rajendra (R); Alias, Fadhilah (F); Tiboleng, Thelma (T); Puthusserypady, Sadasivan K (SK);

Affiliation: ECE Division, Ngee Ann Polytechnic, 535 Clementi Road, Singapore 599489. kna2(-atsign-)np.edu.sg

Journal and publication information

Publication Type: Journal Article

Journal: Biomedical engineering online (Biomed Eng Online), published in England. (Language: eng)

Reference: 2004-Mar; vol 3 (issue 1) : pp 7

Dates: Created 2004/07/16; Completed 2005/09/30; Revised 2008/11/20;

PMID: 15023233, status: MEDLINE (last retrieved date: 2/18/2009)

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