Application of Biomedical Engineering in Neuroscience

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

Dr. Sudip Paul is currently an Assistant Professor at the Department of Biomedical Engineering, School of Technology, North-Eastern Hill University (NEHU), Shillong, India. He received his Ph.D. from the Indian Institute of Technology (Banaras Hindu University), Varanasi with a specialization in Electrophysiology and Brain Signal Analysis, and subsequently completed postdoctoral research in Computational Neuroscience under the Biotechnology Overseas Associateship scheme for scientists working in the North Eastern States of India, supported by the Department of Biotechnology, Government of India. He has organized several workshops and conferences, most notably the 29th Annual Meeting of the Society for Neurochemistry, India, and the IRBO/APRC Associate School 2017. He has published more than 90 international journal and conference papers and has filed four patents.

A member of various societies and professional bodies, including the APSN, ISN, IBRO, SNCI, SfN, and IEEE, he received first prize in the Sushruta Innovation Award 2011, sponsored by the Department of Science and Technology, Government of India, and numerous other awards, including a World Federation of Neurology (WFN) travelling fellowship, Young Investigator Award, and IBRO and ISN Travel Awards. He also serves as an editorial board member for a number of international journals.