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040			_aES-MaUEC _bspa _cES-MaUEC
336			_aTexto _btxt _2rdacontent
988			_aSpringerBiomedLife_2019
999			_c109233 _d109233 _x1
001			109233
005			20230110040216.0
008			190124s2019 si | o |||| 0|eng d
020			_a9789811335525
024	7		_a10.1007/978-981-13-3552-5 _2doi
050		4	_aRC346 _b2019 EB
100	1		_aGhosh, Dipak _eautor _4http://id.loc.gov/vocabulary/relators/aut _9670013
245	1	0	_aMultifractals and Chronic Diseases of the Central Nervous System _cby Dipak Ghosh, Shukla Samanta, Sayantan Chakraborty.
264		1	_aSingapore _bSpringer International Publishing _c2019
300			_a1 recurso en línea (XX, 182 páginas) _b77 ilustraciones, 51 ilustraciones a color
337			_aelectrónico _bc
338			_arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aBiomedical and Life Sciences (Springer-11642)
505	0		_aChapter 1. Introduction -- Chapter 2. Multifractal study of EEG signal of subjects with Epilepsy and Alzheimer's -- Chapter 3. Multifractal Approach for Quantification of Autonomic Deregulation due to Epileptic Seizure with ECG data -- Chapter 4. Multifractal Analysis of Electromyography data.-Chapter 5. Multifractal study on Parkinson's and Huntington diseases with human gait data -- Chapter 6. Multifractal correlation study between posture and autonomic deregulation using ECG and blood pressure data -- Chapter 7. Appendix.
520	3		_aThis book primarily focuses on the study of various neurological disorders, including Parkinson's (PD), Huntington (HD), Epilepsy, Alzheimer's and Motor Neuron Diseases (MND) from a new perspective by analyzing the physiological signals associated with them using non-linear dynamics. The development of nonlinear methods has significantly helped to study complex nonlinear systems in detail by providing accurate and reliable information. The book provides a brief introduction to the central nervous system and its various disorders, their effects on health and quality of life, and their respective courses of treatment, followed by different bioelectrical signals like those detected by Electroencephalography (EEG), Electrocardiography (ECG), and Electromyography (EMG). In turn, the book discusses a range of nonlinear techniques, fractals, multifractals, and Higuchi's Fractal Dimension (HFD), with mathematical examples and procedures. A review of studies conducted to date on neurological disorders like epilepsy, dementia, Parkinson's, Huntington, Alzheimer's, and Motor Neuron Diseases, which incorporate linear and nonlinear techniques, is also provided. The book subsequently presents new findings on neurological disorders of the central nervous system, namely Parkinson's disease and Huntington's disease, by analyzing their gait characteristics using a nonlinear fractal based technique: Multifractal Detrended Fluctuation Analysis (MFDFA). In closing, the book elaborates on several parameters that can be obtained from cross-correlation studies of ECG and blood pressure, and can be used as markers for neurological disorders. .
650		7	_2embne _aSistema nervioso _xEnfermedades _9169088
650		7	_2embne _aNeurociencias _9158907
700	1		_aChakraborty, Sayantan. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
700	1		_aSamanta, Shukla. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
776	0	8	_iPrinted edition: _z9789811335518
776	0	8	_iPrinted edition: _z9789811335532
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi-org/10.1007/978-981-13-3552-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b07/2019 _ek _zSI