DocumentCode
1995732
Title
Multifractal detrended fluctuation analysis used to analyse EEG signals originating from different lobes of brain
Author
Dey, Subham ; Bhimani, Rushab ; Mazumdar, Ankita ; Ghosh, Poulami ; Tibarewala, D.N.
Author_Institution
Dept. of Electr. Eng., Jadavpur Univ., Kolkata, India
fYear
2015
fDate
9-11 July 2015
Firstpage
422
Lastpage
427
Abstract
The electrical activity of human brain when subjected to puzzle stimulus & musical stimuli is recorded as EEG. Non-linear analysis method MFDFA was used to analyze long-lasting effect of music on rest state of brain. Multifractal width and Hurst exponent are used as an indicator of multifractality in our analysis. EEG data was also shuffled to find out the origin of multifractality(i.e. whether due to long range correlation, broad probability density or both).
Keywords
electroencephalography; fractals; medical signal processing; EEG signal analysis; Hurst exponent; MFDFA; biomedical signal; brain lobe; electrical activity; multifractal detrended fluctuation analysis; multifractal width; nonlinear analysis; Correlation; Electrodes; Electroencephalography; Fluctuations; Fractals; Multiple signal classification; Time series analysis; EEG; Hurst Exponent; MFDFA; Multifractal Width; Puzzle & Musical Stimuli; Rest State;
fLanguage
English
Publisher
ieee
Conference_Titel
Recent Trends in Information Systems (ReTIS), 2015 IEEE 2nd International Conference on
Conference_Location
Kolkata
Type
conf
DOI
10.1109/ReTIS.2015.7232916
Filename
7232916
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