Multifractal Detrended Fluctuation Analysis of the Music Induced EEG Signals

被引：0

作者：

Maity, Akash Kumar ^{[1
]}

Pratihar, Ruchira ^{[1
]}

Agrawal, Vishal ^{[1
]}

Mitra, Anubrato ^{[1
]}

Dey, Subham ^{[1
]}

Sanyal, Shankha ^{[2
]}

Banerjee, Archi ^{[2
]}

Sengupta, Ranjan ^{[2
]}

Ghosh, Dipak ^{[2
]}

机构：

[1] Jadavpur Univ, Dept Elect Engn, Kolkata, India

[2] Jadavpur Univ, Sir CV Raman Ctr Phys & Mus, Kolkata, India

来源：

2015 INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND SIGNAL PROCESSING (ICCSP) | 2015年

关键词：

EEG; Hurst exponent; MFDFA; multifractal spectral width; musical stimuli; RESPONSES; CORRELATE;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The electrical activity of the human brain arising from the effect of listening to music has been recorded with the help of EEG recordings in different electrodes. The non-linear EEG signals arising from various lobes of the brain has been studied with the help of a robust technique called Multifractal Detrended Fluctuation Analysis (MFDFA). The presence of multifractality has been justified by the help of MATLAB software and the multifractal spectrum has been drawn for various signals. The spectral widths and the Hurst exponents are compared with a random set of data to verify the presence of self-similarity in the signals. The results are discussed in detail.

引用

页码：252 / 257

页数：6

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[1] Nonlinearity and multifractality of climate change in the past 420,000 years [J].