Full Description
This cutting-edge volume explores how technological tools can be designed, engineered and implemented to assess and support individuals with neurodevelopmental disorders from diagnosis through to rehabilitation. Tanu Wadhera and Deepti Kakkar and their expert contributors focus on technological tools as equalizers in Neurodevelopmental disorders (NDDs) at every stage, the importance of demand-specific design, and how we can best engineer and deploy both invasive and non-invasive individual-centered approaches that support and connect individuals. Considering the perspectives of patients, clinicians and technologists, it explores key topics including design and evaluation of platforms for tech-tools, automated diagnosis, brain imaging techniques, tech-diagnostic frameworks with AI and machine learning, sensing technology, smart brain prosthetics, gamification, alternative communication devices, and education tools and interactive toys. Outlining future challenges for research, Enabling Technology for Neurodevelopmental Disorders is useful for scholars and professionals in psychology, technology, engineering and medicine concerned with design, development and evaluation of a range of assistive technological tools.
Contents
1. Assistive Technology and Neurodevelopmental Disorders: Indian Perspective 2. The Use of Educational Technology to Improve Learning for Persons with Neuro-developmental Disorders 3. Technological Advances for the Diagnosis and Rehabilitation of Dyslexia 4. Impact of Technology on Lives of Children with Autism Spectrum Disorder 5. Telehealth for Children with Autistic Spectrum Disorder: Indian Need Versus Challenges 6. Advances in Innovative Technologies for Neuro-developmental Disorders: Current and future concerns 7. Assistive Technology for Promoting Inclusive Education of Children with Neurodevelopmental Disorders 8. Technology Driven Interventions for Attention Deficit Hyperactivity Disorder (ADHD) 9. Technology Enabled Precision Medicine in Neurodevelopmental Disorders: Artificial Intelligence and Multidimensional Datasets 10. Computational Psychiatry to Bridge the Gap between Data- Driven and Theory Driven Approaches: A Review 11. Alzheimer's Disease Diagnosis using Functional and Structural Neuroimaging Modalities 12. AviR- Autism Rehabilitation with webVR using Text Classification 13. Future Visions for Deep-Learning-based Approaches for NDDs: Learning from Supervised Brain Tumor Segmentation 14. Deep Brain Stimulation & Spectral EEG features for Prognosis of Parkinson's Disease 15. A Hybrid Deep Model with Concatenating Framework of Convolutional Neural Networks for Identification of Autism Spectrum Disorder (ASD)
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