000			04203nam a22003855i 4500
001			102919
003			DE-He213
005			20230102113106.0
007			cr nn 008mamaa
008			170927s2018 si | s |||| 0|eng d
020			_a9789811065118
024	7		_a10.1007/978-981-10-6511-8 _2doi
040			_aES-MaUEC _bspa
050		4	_aML3830 _b.G467 2018 EB
100	1		_aGhosh, Dipak _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/no97003858 _1http://viaf.org/viaf/65602527/ _9670013
245	1	0	_aMusicality of Human Brain through Fractal Analytics _cby Dipak Ghosh, Ranjan Sengupta, Shankha Sanyal, Archi Banerjee.
264		1	_aSingapore _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XVII, 232 páginas 119 ilustraciones, 111 ilustraciones a color)
347			_atext file _bPDF
490	0		_aSignals and Communication Technology _x1860-4862
505	0		_aIntroduction -- 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.
520	3		_aThis 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.  .
650		7	_aMúsica _xAspectos psicológicos _2embne _9299668
650		7	_aElectroencefalografía _2embne _9139534
650		7	_aNeurociencias _2embne _9158907
700	1		_aSengupta, Ranjan _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/no2017139526 _1http://viaf.org/viaf/65285344/
700	1		_aSanyal, Shankha _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/n2018186223 _1http://viaf.org/viaf/9153470907545082191/
700	1		_aBanerjee, Archi _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _0http://id.loc.gov/authorities/names/n2018186224 _1http://viaf.org/viaf/9153470914645082205/
776	0	8	_iEdición impresa: _z9789811065101
776	0	8	_iEdición impresa: _z9789811065125
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-10-6511-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
490	0		_aEngineering (Springer-11647)
988			_aEBSPRINGER_2018
998			_b02/2019 _dz _ek _feng _ggw _h0
999			_c102919 _d102919 _x1