Main description:

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.

Contents:

Chapter 1_Introduction.- Chapter 1.1.Central Nervous System and its Disorders.- Chapter 1.2. Bioelectrical Signals.- Chapter 1.3. Linear Signal Processing Techniques.- Chapter 1.4. Limitations of Linear Techniques.- Chapter 1.5. Nonlinear Techniques.- Chapter 1.5.1. Fractals and Multifractals.- Chapter 1.5.2. Nonlinear Analysis of Biomedical Signals.- Chapter 1.6. Review of Studies on Neurological Disorders.- Chapter 1.7. References.- Chapter 2_ Multifractal study of EEG signal of subjects with Epilepsy and Alzheimer's.- Chapter 2.1. Introduction.- Chapter 2.2. Neurological disorder: Epilepsy, Alzheimer's and EEG data.- Chapter 2.3. Multifractal detrended fluctuation analysis of EEG signals.- Chapter 2.4. Multifractal detrended cross-correlation analysis of EEG signals.- Chapter 2.5. Results and possible application as biomarker of epilepsy.- Chapter 2.6. References.- Chapter 3_Multifractal Approach for Quantification of Autonomic Deregulation due to Epileptic Seizure with ECG data.- Chapter 3.1. Introduction.- Chapter 3.2. Epileptic seizure and ECG data.- Chapter 3.3. Multifractal detrended fluctuation analysis of ECG signals.- Chapter 3.4. Results and possible biomarker.- Chapter 3.5. References.- Chapter 4_Multifractal Analysis of Electromyography data.- Chapter 4.1. Introduction.- Chapter 4.2. Motor Neuron Disease, Myopathy, Neuropathy and Electromyography data.- Chapter 4.3. Multifractal detrended fluctuation analysis of EMG data.- Chapter 4.4. Results and possible advanced level biomarker.- Chapter 4.5. References.- Chapter 5_Multifractal study on Parkinson's and Huntington diseases with human gait data.- Chapter 5.1. Introduction.- Chapter 5.2. Parkinson's Disease and gait data.- Chapter 5.3. Multifractal and Multifractal cross-correlation analysis of Parkinson's Disease.- Chapter 5.4. Huntington Disease and gait data.- Chapter 5.5. Multifractal analysis of Huntington data.- Chapter 5.6. Discussions on possible use of the result for biomarkers of Parkinson's and Huntington.- Chapter 5.7. References.- Chapter 6_Multifractal correlation study between posture and autonomic deregulation using ECG and blood pressure data.- Chapter 6.1.Introduction.- Chapter 6.2.Posture dependent ECG and Blood Pressure data.- Chapter 6.3. Multifractal cross-correlation analysis between ECG and BP data.- Chapter 6.4. Discussion of the result and possible use as biomarker of neurological disorder.- Chapter 6.5. References.- Chapter 7_Appendix.- Chapter 7.1. Multifractal Detrended Fluctuation Analysis (MF-DFA) technique.- Chapter 7.2. Multifractal Detrended Cross-correlation Analysis (MF-DXA) technique.- Chapter 7.3. References.