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Complexity analysis of spontaneous EEG

Bhattacharya, Joydeep. 2000. Complexity analysis of spontaneous EEG. Acta Neurobiologiae Experimentalis, 60(4), pp. 495-501. [Article]

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Abstract or Description

The aim of the present paper is the assessment of the overall complexity of spontaneous and non-paroxysmal EEG signals obtained from three groups of human subjects, e.g., healthy, seizure and mania. Linear complexity measure suitable for multi-variate signals, along with nonlinear measures such as approximate entropy (ApEn) and Taken's estimator are considered. The degree of linear complexity is significantly reduced for the pathological groups compared with healthy group. The nonlinear measures of complexity are significantly decreased in the seizure group for most of the electrodes, whereas a distinct discrimination between the maniac and healthy groups based on these nonlinear measures is not evident.

Item Type:

Article

Departments, Centres and Research Units:

Psychology

Dates:

DateEvent
2000Published

Item ID:

4973

Date Deposited:

22 Feb 2011 08:49

Last Modified:

30 Jun 2017 13:22

Peer Reviewed:

Yes, this version has been peer-reviewed.

URI:

http://research.gold.ac.uk/id/eprint/4973

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