
Intelligent IoT-based Diagnostic and Assistive Systems for Neurological Disorders
- 1st Edition - March 1, 2026
- Imprint: Academic Press
- Editors: Hanif Heidari, Murugappan Murugappan
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 4 1 3 3 - 5
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 4 1 3 4 - 2
Intelligent IoT-based Diagnostic and Assistive Systems for Neurological Disorders discusses the latest developed methods in IoT and its applications in neurological disord… Read more
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- Provides practical strategies and insights for improving medical decision-making and helping in the design of intelligent neurological disorder diagnosis systems using artificial intelligence
- Discusses different types of IoT algorithms, deployment strategies, challenges in IoT system design, future trends, wearable IoT technologies for neurological disorders
- Presents practical case studies illustrating how IoT can be used to improve the quality of life and safety of patients suffering from neurological disorders
- Provides practical knowledge, insights, and strategies for successfully leveraging IoT in neurology
2. Review on various IoT Technologies to Assess and diagnose Parkinson's Disease
3. Chest respiratory classification by quantum regression neural network
4. Analyzing Sports Activity and Neurodegenerative Disease Progression Through IoT and Video Data Validation Methods
5. Expert and Crowd-Guided Affect Annotation and Prediction
6. Compressed Sensing Framework for Energy-Efficient IoT Enabled EEG Monitoring
7. Sparse Representation Based Brain Wave Extraction for IoT Edge Deep EEG Analytics
8. Intelligent IoMT wearable technology for Neurological disorder diagnostic systems
9. Deep Learning and Internet of Thing based Autism Spectrum Disorder Detection using Facial Images
10. Design and Development of Intelligent IoT based assistive system for ICD Patients
11. Artificial Intelligence based Neurological Disorder Diagnosis using EEG Signals
12. A Novel Automated Diagnosis System for Stroke using Electroencephalogram Signals
- Edition: 1
- Published: March 1, 2026
- Imprint: Academic Press
- Language: English
HH
Hanif Heidari
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Murugappan Murugappan
Professor Dr. M. Murugappan is a Full Professor in Electronics at Kuwait College of Science and Technology (KCST) since 2016. Additionally, he serves as a Visiting Professor at the School of Engineering at Vels Institute of Science, Technology, and Advanced Studies in India, and an International Visiting Fellow at the Centre of Excellence in Unmanned Aerial Systems at Universiti Malaysia Perlis in Malaysia.
He holds an M.E. degree in Applied Electronics from Anna University, India, and received his Ph.D. in Mechatronic Engineering from Universiti Malaysia Perlis in 2010. Between 2010 and 2016, he worked as a Senior Lecturer at the School of Mechatronics Engineering, where he taught courses related to biomedical and mechatronics engineering.
Professor Murugappan has an outstanding research record, with numerous awards and research grants. His research in affective computing has received significant funding from Malaysia, Kuwait, and the UK.
He has published over 140 peer-reviewed conference proceedings papers, journal articles, and book chapters. Professor Murugappan is also a member of the editorial boards of prestigious journals, including PLOS ONE, Human Centric Information Sciences, Journal of Medical Imaging and Health Informatics, and International Journal of Cognitive Informatics.
Furthermore, he actively contributes to various IEEE Transactions as a reviewer and holds leadership roles, such as Chair of the IEEE Kuwait Section's Educational Activities Committee.