Description
Chapter 1. Introduction of Human Physiology.- Chapter 1.1. Basic overview of Human Physiology.- Chapter 1.1. Gene, atom, byte and brain: how neural engineering is transforming neuropsychiatry.- Chapter 2. Introduction to neurodegenerative and regenerative Disorders.- Chapter 2.1. Overview of Neurological Disorders.- Chapter 2.2. Phytoextracts and their derivatives: a potential source to encounter dementia and Alzheimer’s disorder.- Chapter 2.3. Biomedical tools in regenerative medicine.- Chapter 3. Emotion, Stress and other Neurological dysfunctions with technological interventions.- Chapter 3.1. Neural mechanism.- Chapter 3.2. Emotion recognition using EEG signal processing.- Chapter 3.3. Emotion recognition using EEG signal processing.- Chapter 4. Neuro disability and Neurorehabilitation.- Chapter 4.1. Pathophysiology of diseases causing physical disability.- Chapter 4.2. Rehabilitation device control using electroencephalography: An overview.- Chapter 5. Introduction to brain images and its classical approaches.- Chapter 5.1. Advanced approaches for medical image segmentation.- Chapter 5.2. Hybrid neurofuzzy approaches for classification of brain MRI images.- Chapter 5.3. Brain imaging technologies and their applications in the identification of neurodegenerative diseases.- Chapter 6. Neural Engineering.- Chapter 6.1. Significance of Neural Engineering.- Chapter 7. Retrain the brain through noninvasive imaging technologies.- Chapter 7.1. Importance of electrical stimulation and transcranial magnetic stimulation.- Chapter 7.1. Feature selection and classification of EEG signals.- Chapter 7.2. Simple computational models for multichannel EEG compression.- Chapter 7.3. Fundamentals of electrooculography and its analysis.- Chapter 8. Nanomaterials involved in therapeutic strategy.- Chapter 8.1. Nanomaterials: an emerging therapeutic strategy for neurological disorders.- Chapter 9. Artificial Intelligence and Computer Aided diagnosis.- Chapter 9.1. Machine learning framework based biomedical signal processing: EEG based studies.- Chapter 9.2. Computer aided diagnosis of epilepsy using bispectrum of EEG signals.- Chapter 10. Modern and futuristic neurological applications of biomedical engineering.- Chapter 10.1. Anatomical optical and microwave real numerical phantoms
