Elsevier Computational Intelligence Deep Learning Neuro-rehabilitation Applications

Computational Intelligence and Deep Learning Methods for Neuro-rehabilitation Applications by Academic Press explores how artificial intelligence and deep learning can transform the treatment of neurological disorders through advanced neuro-rehabilitation techniques. This comprehensive guide combines theoretical foundations with practical applications, featuring in-depth case studies and real-time scenarios from diverse geographical locations. The book addresses the specific challenges of implementing AI-based neuro-rehabilitation methods whilst providing evidence-based solutions for clinical practice. It examines machine learning's role in brain function grading and assessment for adult patients, offering healthcare practitioners and biomedical engineers the knowledge needed to integrate computational intelligence into rehabilitation programmes. Designed for allied health professionals and researchers, this resource bridges the gap between emerging AI technologies and clinical neuro-rehabilitation applications, making it an essential reference for anyone developing or implementing intelligent rehabilitation systems.