1st ed. 2019 Edition
by Dipak Ghosh (Author), Shukla Samanta (Author), Sayantan Chakraborty (Author)
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.
