• DocumentCode
    3725121
  • Title

    Detrended Fluctuation and Power Spectral Analysis of alpha and delta EEG brain rhythms to study music elicited emotion

  • Author

    Shankha Sanyal;Archi Banerjee;Ruchira Pratihar;Akash Kumar Maity;Subham Dey;Vishal Agrawal;Ranjan Sengupta;Dipak Ghosh

  • Author_Institution
    Sir C.V Raman Centre for Physics and Music, Jadavpur University, Kolkata-32, India
  • fYear
    2015
  • Firstpage
    205
  • Lastpage
    210
  • Abstract
    The study reports the effect of two different types of Hindustani music which are supposed to evoke contrasting emotions on brain activity using Electroencephalography (EEG) data. Two different sets of Hindustani music raga clips of contrasting emotion (romantic/sorrow) were used in the study. EEG was performed on five male subjects while they listened to the clips. The linear analysis of their alpha and delta spectral power showed that in most cases arousal based activities were enhanced in both the subjects while they listened to the two music clips. Further, we used a robust nonlinear method called Detrended Fluctuation Analysis (DFA) to analyze the scaling behavior of the observed fluctuations in EEG. The scaling exponent (α) values determined for the different experimental conditions show different levels of neural activity when the two different types of music are played. The implications are discussed in detail.
  • Keywords
    "Electroencephalography","Electrodes","Time series analysis","Fluctuations","Protocols","Rhythm"
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, Computing and Control (ISPCC), 2015 International Conference on
  • Type

    conf

  • DOI
    10.1109/ISPCC.2015.7375026
  • Filename
    7375026