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
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;
Conference_Titel :
Recent Trends in Information Systems (ReTIS), 2015 IEEE 2nd International Conference on
Conference_Location :
Kolkata
DOI :
10.1109/ReTIS.2015.7232916
