Complexity analysis of spontaneous EEG

• Authors: J. Bhattacharya
• Languages of publication: EN

Abstracts

EN

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.

Keywords

EN

APPROXIMATE ENTROPY; COMPLEXITY; EEG; MANIA; NOISE

Discipline

• EXPERIMENTAL_BIOLOGY_&_MEDICINE: EXPERIMENTAL BIOLOGY & MEDICINE

• Publisher: Marceli Nencki Institute of Experimental Biology, Polish Academy of Sciences
• Journal: Acta Neurobiologiae Experimentalis
• Year: 2000
• Volume: 60
• Issue: 4
• Pages: 495-501

Contributors

author

J. Bhattacharya

• Document Type: SHORT COMMUNICA
• Publication order reference: J. Bhattacharya, Commission for Scientific Visualization, Austrian Academy of Sciences, Sonnenfelsgasse 19/2, A-1010 Vienna, Austria, Email: [e-mail]