Musicality of Human Brain through Fractal Analytics

This book provides a comprehensive overview of how fractal analytics can lead to the extraction of interesting features from the complex electroencephalograph (EEG) signals generated by Hindustani classical music. It particularly focuses on how the brain responses to the emotional attributes of Hind...

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Bibliographic Details
Main Authors: Ghosh, Dipak (Author), Sengupta, Ranjan (Author), Sanyal, Shankha (Author), Banerjee, Archi (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Series:Signals and Communication Technology,
Subjects:
Signal processing.
User interfaces (Computer systems).
Human-computer interaction.
Neurosciences.
Neuropsychology.
Signal, Speech and Image Processing.
User Interfaces and Human Computer Interaction.
Neuroscience.
Online Access:Full-text access
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Table of Contents:
  • Introduction
  • Methodology
  • Emotions from Hindustani Classical Music: An EEG based study with evidence of neural hysteresis
  • Musical perception and visual imagery: Do musicians visualize while performing?
  • Tanpura drone and brain dynamics: How a simple acoustic signal affects brain rhythms
  • In search of universality of music: effect of cross cultural instrumental clips
  • Gestalt phenomenon in music: which frequencies do we hear?
  • Quantification of musical emotion with neural jitter-shimmer: novel study with hindustani music
  • An approach to encapsulate improvisation in hindustani classical music
  • Ambiguity in hindustani classical music: development of an automated algorithm to asses ambiguity
  • Computing the pitch of an EEG signal: a new paradigm in analysis of bio-signals
  • Epilogue.

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