Exploring AI-Based Neuro-Rehabilitation Methods

Computational Intelligence and Deep Learning Methods for Neuro-rehabilitation Applications is a comprehensive guide that delves into the potential of AI-based methods for treating neurological disorders. This book offers in-depth insights into the challenges and solutions associated with various neuro-rehabilitation approaches, including case studies and real-time scenarios from different geographical locations.

Overview of Neuro-Rehabilitation Applications

The book begins by providing an overview of neuro-rehabilitation applications, shedding light on the role of machine learning methods in brain function grading for adults with Mild Cognitive Impairment. It also discusses the use of Brain Computer Interface for post-stroke patients, the development of assistive devices for paralytic patients, and cognitive treatment for spinal cord injuries.

AI-Based Solutions for Various Conditions

Topics covered in the book include the use of AI-based video games to improve brain performances in children with autism and ADHD, deep learning approaches and magnetoencephalography data for limb movement, EEG signal analysis, smart sensors, and the application of robotic concepts for gait control. Each chapter provides a block diagram-based complete set-up to aid in real-time implementation.

Key Features

This book incorporates artificial intelligence techniques into neuro-rehabilitation, presenting novel ideas for this process. It provides in-depth case studies and state-of-the-art methods, along with experimental studies. The book serves as a valuable resource for researchers, practitioners, and students in the field of neuro-rehabilitation and AI.

Publication Details

Published by Elsevier Science, this book is available in English and was released on November 14, 2023. The ISBNs for the book are 9780443137723 and 9780443137730.