Application of Biomedical Engineering in Neuroscience

This book focuses on interdisciplinary research in the field of biomedical engineering and neuroscience. Biomedical engineering is a vast field, ranging from bioengineering to brain-computer interfaces. The book explores the system-level function and dysfunction of the nervous system from scientific and engineering perspectives. The initial sections introduce readers to the physiology of the brain, and to the biomedical tools needed for diagnostics and effective therapies for various neurodegenerative and regenerative disorders.

In turn, the book summarizes the biomedical interventions that are used to understand the neural mechanisms underlying empathy disorders, and reviews recent advances in biomedical engineering for rehabilitation in connection with neurodevelopmental disorders and brain injuries. Lastly, the book discusses innovations in machine learning and artificial intelligence for computer-aided disease diagnosis and treatment, as well as applications of nanotechnology in therapeutic neurology.

Auteur

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.

Contenu
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