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 Hindustani classical music that have been long
been a source of discussion for musicologists and psychologists. Using
robust scientific techniques that are capable of looking into the most
intricate dynamics of the complex EEG signals, it deciphers the human
brain's response to different ragas of Hindustani classical music,
shedding new light on what happens inside the performer's brain when
they are mentally composing the imagery of a particular raga. It also
explores the much- debated issue in the musical fraternity of whether
there are any universal cues in music that make it identifiable for
people throughout the world, and if so, what are the neural correlates
associated with the universal cues? This book is of interest to
researchers and scholars of music and the brain, nonlinear science,
music cognition, music signal processing and music information
retrieval. In addition, researchers in the field of nonlinear biomedical
signal processing and music signal analysis benefit from this book.