Multifractal Detrended Fluctuation Analysis used to analyse EEG signals originating from different lobes of Brain

被引：0
|
作者：
Dey, Subham [1 ]
Bhimani, Rushab [1 ]
Mazumdar, Ankita [2 ]
Ghosh, Poulami [2 ]
Tibarewala, D. N. [2 ]
机构：
[1] Jadavpur Univ, Dept Elect Engn, Kolkata, India
[2] Jadavpur Univ, Sch Biosci & Engn, Kolkata, India
来源：
2015 IEEE 2ND INTERNATIONAL CONFERENCE ON RECENT TRENDS IN INFORMATION SYSTEMS (RETIS) | 2015年
关键词：
EEG; MFDFA; Multifractal Width; Hurst Exponent; Rest State; Puzzle & Musical Stimuli;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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)
引用
收藏
页码：422 / 427
页数：6
相关论文
共 50 条
  • [1] Multifractal Detrended Fluctuation Analysis of the Music Induced EEG Signals
    Maity, Akash Kumar
    Pratihar, Ruchira
    Agrawal, Vishal
    Mitra, Anubrato
    Dey, Subham
    Sanyal, Shankha
    Banerjee, Archi
    Sengupta, Ranjan
    Ghosh, Dipak
    [J]. 2015 INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND SIGNAL PROCESSING (ICCSP), 2015, : 252 - 257
  • [2] Study of EEG brain maturation signals with multifractal detrended fluctuation analysisa
    Fighola, A.
    Serrano, E.
    Rostas, J. A. R.
    Hunter, M.
    Rosso, O. A.
    [J]. NONEQUILIBRIUM STATISTICAL MECHANICS AND NONLINEAR PHYSICS, 2007, 913 : 190 - +
  • [3] Detrended fluctuation analysis of EEG signals
    Marton, L. F.
    Brassai, S. T.
    Bako, L.
    Losonczi, L.
    [J]. 7TH INTERNATIONAL CONFERENCE INTERDISCIPLINARITY IN ENGINEERING (INTER-ENG 2013), 2014, 12 : 125 - 132
  • [4] Sleep Staging From the EEG Signal Using Multifractal Detrended Fluctuation Analysis
    Liu, Zhiyong
    Sun, Jinwei
    [J]. 2015 FIFTH INTERNATIONAL CONFERENCE ON INSTRUMENTATION AND MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC), 2015, : 63 - 68
  • [5] Comparative Study of parameters of Multifractal Detrended Fluctuation Analysis on EEG bands
    Sikdar, Debdeep
    Chakraborty, Monisha
    [J]. 2016 INTERNATIONAL CONFERENCE ON SYSTEMS IN MEDICINE AND BIOLOGY (ICSMB), 2016, : 178 - 181
  • [6] Characteristics Analysis of Nonstationary Signals Based on Multifractal Detrended Fluctuation Analysis Method
    Fan, Chunling
    Li, Li
    [J]. 2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC), 2015, : 1614 - 1618
  • [7] Detecting the Origin of Multifractality of EEG Signals with Sleep Apnea Syndrome using Multifractal Detrended Fluctuation Analysis Method
    Chakraborty, Monisha
    Das, Tithi
    Ghosh, Dipak
    [J]. 2016 2ND INTERNATIONAL CONFERENCE ON CONTROL, INSTRUMENTATION, ENERGY & COMMUNICATION (CIEC), 2016, : 135 - 139
  • [8] Multifractal Detrended Fluctuation Analysis of alpha and theta EEG rhythms with musical stimuli
    Maity, Akash Kumar
    Pratihar, Ruchira
    Mitra, Anubrato
    Dey, Subham
    Agrawal, Vishal
    Sanyal, Shankha
    Banerjee, Archi
    Sengupta, Ranjan
    Ghosh, Dipak
    [J]. CHAOS SOLITONS & FRACTALS, 2015, 81 : 52 - 67
  • [9] EEG based cognitive task classification using multifractal detrended fluctuation analysis
    Gaurav, G.
    Anand, R. S.
    Kumar, Vinod
    [J]. COGNITIVE NEURODYNAMICS, 2021, 15 (06) : 999 - 1013
  • [10] EEG based cognitive task classification using multifractal detrended fluctuation analysis
    G. Gaurav
    R. S. Anand
    Vinod Kumar
    [J]. Cognitive Neurodynamics, 2021, 15 : 999 - 1013
12345