Enabling Technology for Neurodevelopmental Disorders : From Diagnosis to Rehabilitation book cover
1st Edition

Enabling Technology for Neurodevelopmental Disorders
From Diagnosis to Rehabilitation

ISBN 9780367761189
Published April 21, 2022 by Routledge
272 Pages 48 B/W Illustrations

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Book 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.

Table of Contents


Chapter 1

Assistive Technology and Neurodevelopmental Disorders: Indian Perspective

Srinivasan Venkatesan

Chapter 2

The Use of Educational Technology to Improve Learning for Persons with Neuro-developmental Disorders

Jesse M. Redlo, Harpreet Kaur Dhir

Chapter 3

Technological Advances for the Diagnosis and Rehabilitation of Dyslexia

Rizwana Azeez

Chapter 4

Impact of Technology on Lives of Children with Autism Spectrum Disorder

Anurag Sharma and Hitesh Marwaha


Chapter 5

Telehealth for Children with Autistic Spectrum Disorder: Indian Need Versus Challenges

Iyer Kamlam Gopalkrishnan and Srinivasan Venkatesan

Chapter 6

Advances in Innovative Technologies for Neuro-developmental Disorders: Current and future concerns

Sana Nafees, Md Asad Khan and Moshahid A Rizvi

Chapter 7

Assistive Technology for Promoting Inclusive Education of Children with Neurodevelopmental Disorders

Dr G. Malar & Prof S. P. Goswami

Chapter 8

Technology Driven Interventions for Attention Deficit Hyperactivity Disorder (ADHD)

Tanu Gupta, Pratibha Gehlawat

Chapter 9

Technology Enabled Precision Medicine in Neurodevelopmental Disorders: Artificial Intelligence and Multidimensional Datasets

Pratibha Gehlawat and Tanu Gupta

Chapter 10

Computational Psychiatry to Bridge the Gap between Data- Driven and Theory Driven Approaches: A Review

Sapumal Ahangama, Indika Perera

Chapter 11

Alzheimer’s Disease Diagnosis using Functional and Structural Neuroimaging Modalities

De Silva, Dayarathna, Meedeniya

Chapter 12

AviR- Autism Rehabilitation with webVR using Text Classification

Anshu Khurana, Om Prakash Verma

Chapter 13

Future Visions for Deep-Learning-based Approaches for NDDs: Learning from Supervised Brain Tumor Segmentation

Radhika Malhotra, Barjinder Singh Saini, Savita Gupta

Chapter 14

Deep Brain Stimulation & Spectral EEG features for Prognosis of Parkinson’s Disease

Anudruti Singha

Chapter 15

A Hybrid Deep Model with Concatenating Framework of Convolutional Neural Networks for Identification of Autism Spectrum Disorder (ASD)

Sumit Kumar, Shallu Sharma

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Tanu Wadhera is Assistant Professor at Department of Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, Patiala, Punjab, India. She earned her Ph.D. degree in Electronics and Communication Engineering and has a total of six years of research experience, with four years at National Institute of Technology, Jalandhar, Punjab, India. Her research interests include Artificial Intelligence, Assistive Technology, Behavioural Modelling, Biomedical Signal Processing, Cognitive Neuroscience and Machine Learning.

Deepti Kakkar is Assistant Professor at Department of Electronics and Communication, National Institute of Technology, Jalandhar, Punjab, India. She has a total academic experience of 15 years and has guided more than 40 postgraduate engineering dissertations and over 30 papers international Journals and Conferences. Her recent research interests include Cognitive Neuroscience and Neurodevelopmental disorders.