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Multifractals and Chronic Diseases of the Central Nervous System

  • Dipak Ghosh
  • Shukla Samanta
  • Sayantan Chakraborty

Table of contents

  1. Front Matter
    Pages i-xx
  2. Dipak Ghosh, Shukla Samanta, Sayantan Chakraborty
    Pages 1-46
  3. Dipak Ghosh, Shukla Samanta, Sayantan Chakraborty
    Pages 47-77
  4. Dipak Ghosh, Shukla Samanta, Sayantan Chakraborty
    Pages 97-116
  5. Dipak Ghosh, Shukla Samanta, Sayantan Chakraborty
    Pages 117-147
  6. Back Matter
    Pages 173-182

About this book

Introduction

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. 

Keywords

Neurodegenerative diseases Fractal Analytics Multifractals Auto-correlation Cross-correlation

Authors and affiliations

  • Dipak Ghosh
    • 1
  • Shukla Samanta
    • 2
  • Sayantan Chakraborty
    • 3
  1. 1.Department of PhysicsSir C V Raman Centre for Physics and Music, Jadavpur UniversityKolkataIndia
  2. 2.Department for PhysicsSeacom Engineering CollegeHowrahIndia
  3. 3.Electrical and Electronics EngineeringICFAI UniversityAgartalaIndia

Bibliographic information

Industry Sectors
Pharma
Biotechnology