Basket (0)
Wishlist (0)
Your personal newsletter
__

Application of Biomedical Engineering in Neuroscience

Application of Biomedical Engineering in Neuroscience

 
Edition number: 1st ed. 2019
Publisher: Springer
Date of Publication:
Number of Volumes: 1 pieces, Book
 
Normal price:
Publisher's listprice:
EUR 160.49
Estimated price in HUF:
66 226 HUF (63 072 HUF + 5% VAT)
Why estimated?
 
Your price:
60 928 (58 026 HUF + 5% VAT )
discount is: 8% (approx 5 298 HUF off)
The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
Click here to subscribe.
 
Availability:
Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
Can't you provide more accurate information?
 
Add to basket
  Piece(s)

 
 
 
 
Product details:
ISBN13:9789811371417
ISBN10:9811371415
Binding:Hardback
No. of pages:490 pages
Size:235x155 mm
Weight:916 g
Language:English
Illustrations: 28 Illustrations, black & white; 120 Illustrations, color
165
Category:
Short description:

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.

Long description:

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.

Table of Contents:
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