Study of EEG brain maturation signals with multifractal detrended fluctuation analysisa

被引:0
|
作者
Fighola, A. [1 ]
Serrano, E. [2 ]
Rostas, J. A. R. [3 ]
Hunter, M. [4 ]
Rosso, O. A. [5 ]
机构
[1] Univ Nacl Gen Sarmiento, Inst Desarrollo Humano, Juan Mario Gutierrez, RA-1150 Buenos Aires, DF, Argentina
[2] Univ Nacl Gen San Martin, Escuela Ciencia & Tecnol, RA-3100 Buenos Aires, DF, Argentina
[3] Univ Newcastle, Biomed Sci & Hunter Med Res Inst, Callaghan, NSW 2308, Australia
[4] Univ Newcastle, Sch Behav Sci & Hunter Med Res Inst, Callaghan, NSW 2308, Australia
[5] Univ Buenos Aires, Fac Ciencias Exactas & Nat, Inst Calculo, RA-1428 Buenos Aires, DF, Argentina
关键词
EEG; brain maturation; multifractal analysis;
D O I
暂无
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
In this work, we have study the EEG signals of birds during the first 6 weeks of life. The aim of the article is to perform a quantitative analysis of the dynamical changes observed in these signals due to the brain maturation effects. The signals' long scaling behaviour is study by Multifractal Detrended Fluctuation Analysis (MFDFA). This method allows the multifractal characterization of these EEG nonstationary time series and characterize the different stage of bird brain maturation.
引用
收藏
页码:190 / +
页数:2
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] Multifractal Detrended Fluctuation Analysis used to analyse EEG signals originating from different lobes of Brain
    Dey, Subham
    Bhimani, Rushab
    Mazumdar, Ankita
    Ghosh, Poulami
    Tibarewala, D. N.
    [J]. 2015 IEEE 2ND INTERNATIONAL CONFERENCE ON RECENT TRENDS IN INFORMATION SYSTEMS (RETIS), 2015, : 422 - 427
  • [3] 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
  • [4] 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
  • [5] The Detrended Fluctuation Analysis of EEG Signals: A Meditation-Based Study
    Hirekhan, Sunil R.
    Manthalkar, Ramchandra
    Phutke, Shruti
    [J]. COMPUTING, COMMUNICATION AND SIGNAL PROCESSING, ICCASP 2018, 2019, 810 : 771 - 780
  • [6] A comparative study of multifractal detrended fluctuation analysis and multifractal detrended moving average algorithm to estimate the multifractal spectrum
    Xi Cai-Ping
    Zhang Shu-Ning
    Xiong Gang
    Zhao Hui-Chang
    [J]. ACTA PHYSICA SINICA, 2015, 64 (13)
  • [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] EEG based cognitive task classification using multifractal detrended fluctuation analysis
    G. Gaurav
    R. S. Anand
    Vinod Kumar
    [J]. Cognitive Neurodynamics, 2021, 15 : 999 - 1013
  • [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] 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