| Description |
1 online resource |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
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Print version record. |
| Summary |
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. |
| Subject |
Nervous system -- Diseases -- Patients -- Rehabilitation.
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Computational intelligence.
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Deep learning (Machine learning) -- Therapeutic use.
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Intelligence informatique.
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Apprentissage profond -- Emploi en thérapeutique.
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| Added Author |
Hemanth, D. Jude.
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| Other Form: |
Print version: 0443137722 9780443137723 (OCoLC)1380459809 |
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Print version: Computational intelligence and deep learning methods for neuro-rehabilitation applications. Amsterdam : Academic Press, 2023 9780443137723 (OCoLC)1400084151 |
| ISBN |
9780443137730 (electronic bk.) |
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0443137730 (electronic bk.) |
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9780443137723 |
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0443137722 |
| Standard No. |
AU@ 000076053373 |
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AU@ 000076057511 |
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