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Computational Intelligence and Deep Learning Methods for Neuro-rehabilitation Applications
Computational Intelligence and Deep Learning Methods for Neuro-rehabilitation Applications
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Excellent- More about Computational Intelligence and Deep Learning Methods for Neuro-rehabilitation Applications
The book Computational Intelligence and Deep Learning Methods for Neuro-rehabilitation Applications explores the use of AI and deep learning methods to provide neuro-rehabilitation treatments for neurological disorders. It covers various applications, such as brain function grading, BCI, assistive devices, cognitive therapy, and AI-based video games, and discusses challenges and solutions in different geographical locations.
Format: Paperback / softback
Length: 250 pages
Publication date: 01 November 2023
Publisher: Elsevier Science Publishing Co Inc
Computational Intelligence and Deep Learning Methods for Neuro-rehabilitation Applications delves into the vast realm of exploring the potential of AI-based neuro-rehabilitation techniques to treat neurological disorders. This comprehensive book offers an in-depth exploration of the challenges and solutions associated with various types of neuro-rehabilitation, encompassing case studies and real-life scenarios across diverse geographical locations.
The journey begins with an introductory overview of neuro-rehabilitation applications, shedding light on their significance in restoring cognitive and motor functions for individuals with neurological conditions. The book then delves into the role of machine learning methods in grading brain function for adults with Mild Cognitive Impairment, facilitating communication and control through Brain Computer Interfaces for post-stroke patients. It further explores the development of assistive devices for paralytic patients, enhancing their independence and quality of life. Additionally, the book discusses cognitive treatment for spinal cord injuries, aimed at promoting recovery and improving daily living activities.
The scope of this text extends to include innovative AI-based approaches for enhancing brain performances in children with autism and ADHD. It explores deep learning techniques and magnetoencephalography data for limb movement, enabling precise control and rehabilitation. EEG signal analysis is also discussed, offering valuable insights into brain activity and its correlation with cognitive functions. Smart sensors and the application of robotic concepts for gait control are explored, highlighting the latest advancements in neuro-rehabilitation technology.
Overall, Computational Intelligence and Deep Learning Methods for Neuro-rehabilitation Applications serves as a valuable resource for researchers, practitioners, and healthcare professionals seeking to advance the field of neuro-rehabilitation. By providing a comprehensive exploration of the latest AI-based techniques and their applications, this book empowers individuals with neurological disorders to lead fulfilling lives and achieve improved cognitive and motor functions.
Weight: 450g
Dimension: 235 x 191 (mm)
ISBN-13: 9780443137723
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