Multifractals and Chronic Diseases of the Central Nervous System

Multifractals and Chronic Diseases of the Central Nervous System
Author :
Publisher : Springer
Total Pages : 198
Release :
ISBN-10 : 9789811335525
ISBN-13 : 9811335524
Rating : 4/5 (524 Downloads)

Book Synopsis Multifractals and Chronic Diseases of the Central Nervous System by : Dipak Ghosh

Download or read book Multifractals and Chronic Diseases of the Central Nervous System written by Dipak Ghosh and published by Springer. This book was released on 2019-01-24 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 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.


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