Computational Intelligence and Deep Learning Methods for Neuro-rehabilitation Applications
eBook - ePub

Computational Intelligence and Deep Learning Methods for Neuro-rehabilitation Applications

  1. 250 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Computational Intelligence and Deep Learning Methods for Neuro-rehabilitation Applications

About this book

Computational Intelligence and Deep Learning Methods for Neuro-rehabilitation Applications explores the different possibilities of providing AI based neuro-rehabilitation methods to treat neurological disorders. This book provides in-depth knowledge on the challenges and solutions associated with the different varieties of neuro-rehabilitation through the inclusion of case studies and real-time scenarios in different geographical locations. Beginning with an overview of neuro-rehabilitation applications, the book discusses the role of machine learning methods in brain function grading for adults with Mild Cognitive Impairment, Brain Computer Interface for post-stroke patients, developing assistive devices for paralytic patients, and cognitive treatment for spinal cord injuries.  Topics also include AI-based video games to improve the 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. - Incorporates artificial intelligence techniques into neuro-rehabilitation and presents novel ideas for this process - Provides in-depth case studies and state-of-the-art methods, along with the experimental study - Presents a block diagram based complete set-up in each chapter to help in real-time implementation

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Yes, you can access Computational Intelligence and Deep Learning Methods for Neuro-rehabilitation Applications by D. Jude Hemanth in PDF and/or ePUB format, as well as other popular books in Biowissenschaften & Biotechnologie. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2023
Print ISBN
9780443137723
eBook ISBN
9780443137730
Topic
Biowissenschaften
Subtopic
Biotechnologie

Table of contents

  1. Cover
  2. Front Matter
  3. Table of Contents
  4. Copyright
  5. Contributors
  6. Preface
  7. List of Illustrations
  8. List of Tables
  9. Chapter 1 : AI-based technologies, challenges, and solutions for neurorehabilitation: A systematic mapping
  10. Chapter 2 : Complex approaches for gait assessment in neurorehabilitation
  11. Chapter 3 : Deep learning method for adult patients with neurological disorders under remote monitoring
  12. Chapter 4 : Rehabilitation for individuals with autism spectrum disorder using mixed reality virtual assistants
  13. Chapter 5 : Wearable sleeve for physiotherapy assessment using ESP32 and IMU sensor
  14. Chapter 6 : Machine learning for Developing neurorehabilitation-aided assistive devices
  15. Chapter 7 : Deep learning and machine learning methods for patients with language and speech disorders
  16. Chapter 8 : Machine learning for cognitive treatment planning in patients with neurodisorder and trauma injuries
  17. Chapter 9 : Artifacts removal techniques in EEG data for BCI applications: A survey
  18. Chapter 10 : Deep learning system of naturalistic communication in brain–computer interface for quadriplegic patient
  19. Chapter 11 : Motor imaginary tasks-based EEG signals classification using continuous wavelet transform and LSTM network
  20. Chapter 12 : Enhancing human brain activity through a systematic study conducted using graph theory and probability concepts on a hydar prehistoric organism
  21. Index
  22. A