Interdisciplinary approaches to altering neurodevelopmental disorders
""This book explores interdisciplinary approaches to diagnostic, assessment, support, and intervention schemes for neurodevelopmental disorders"--Provided by publisher"--
| Other Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
Hershey, PA
IGI Global,
[2020]
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| Series: | Advances in medical diagnosis, treatment, and care (AMDTC) book series.
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| Subjects: | |
| Online Access: | EBSCOhost Перейти в каталог НБ ТГУ |
Table of Contents:
- Chapter 1. Attitudes of society towards people with neurodevelopmental disorders: problems and solutions
- Chapter 2. A case study in autism spectrum disorder
- Chapter 3. The adult transition challenge of autistic individuals and the way ahead: a sibling's perspective
- Chapter 4. Enhancing life skills of children and adolescents with autism spectrum disorder and intellectual disabilities through technological supports: a selective overview
- Chapter 5. Augmentative and alternative communication systems for children with cerebral palsy
- Chapter 6. Aided augmentative and alternative communication (AAC) systems for individuals with autism spectrum disorders
- Chapter 7. A review on eye tracking technology
- Chapter 8. Support of gamification, virtual, and assistive technologies in intervening in social and behavioral impairment
- Chapter 9. Yoga therapy on cognitive function in neurodevelopmental disorders
- Chapter 10. 21st century education for special needs students: a teacher's view and an instructional approach
- Chapter 11. Design thinking for technology supporting individuals with neurodevelopmental disorders in Developing countries: participatory design for inclusitivity
- Chapter 12. Brain-computer interface and neurofeedback for brain training
- Chapter 13. Role of artificial intelligence in modeling psychometrics to detect neurodevelopmental disorders: use of AI to understand human behavioral aspects
- Chapter 14. Activity recognition system through deep learning analysis as an early biomarker of ASD characteristics
- Chapter 15. Comparative study on ASD identification using machine and deep learning
- Chapter 16. A review of supportive computational approaches for neurological disorder identification
- Chapter 17. Big data-based system: a supportive tool in autism spectrum disorder analysis.