1.

Record Nr.

UNINA9910373917503321

Titolo

Application of Biomedical Engineering in Neuroscience / / edited by Sudip Paul

Pubbl/distr/stampa

Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019

ISBN

981-13-7142-3

Edizione

[1st ed. 2019.]

Descrizione fisica

1 online resource (XIII, 490 p. 148 illus., 120 illus. in color.)

Disciplina

612.8

Soggetti

Neurosciences

Biomedical engineering

Human physiology

Health informatics

Biomedical Engineering/Biotechnology

Human Physiology

Health Informatics

Enginyeria biomèdica

Llibres electrònics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Module 1_ Introduction to Human Physiology -- Module 2_ Neural engineering - Module 3_ Introduction to Neurodegenerative and regenerative Disorders -- Module 4_ Brain images and it`s classifications -- Module 5_ EEG, EOG and their significance -- Module 6_ Artificial Intelligence and Computer Aided diagnosis -- Module 7_ Nanomaterials involved in therapeutic strategy -- Module 8_ Emotion, Stress and other Neurological dysfunctions -- Module 9_ Emotion, Stress and other Neurological dysfunctions.

Sommario/riassunto

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.