Multifractal detrended cross-correlation analysis for epileptic patient in seizure and seizure free status

Dipak Ghosh, Srimonti Dutta and Sayantan Chakraborty

Chaos, Solitons & Fractals, 2014, vol. 67, issue C, 1-10

Abstract: This paper reports a study of EEG data of epileptic patients in terms of multifractal detrended cross-correlation analysis (MF-DXA). The EEG clinical data were obtained from the EEG Database available with the Clinic of Epileptology of the University Hospital of Bonn, Germany. The data sets (C, D, and E) were taken from five epileptic patients undergoing presurgical evaluations. The data sets consist of intracranial EEG recordings during seizure-free intervals (interictal periods) from within the epileptogenic zone (D) and from the hippocampal formation of the opposite hemisphere of the epileptic patients’ brain, respectively (C). The data set (E) was recorded during seizure activity (ictal periods). MF-DXA is a very rigorous and robust tool for assessment of cross-correlation among two nonlinear time series. The study reveals the degree of cross-correlation is more among seizure and seizure free interval in epileptogenic zone. These data are very significant for diagnosis, onset and prognosis of epileptic patients.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:67:y:2014:i:c:p:1-10

DOI: 10.1016/j.chaos.2014.06.010

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