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Full Description
Intelligent IoT-based Diagnostic and Assistive Systems for Neurological Disorders discusses the latest developed methods in IoT and its applications in neurological disorders that emphasize end-user requirements. The book explores Intelligent IoT and its use in exploring the intersection between medicine, data science, biomedical engineering, and healthcare systems. In addition, this release includes a comprehensive overview of modeling and analyzing the requirements of people with neurological disorders. Signals and images of biological activity are collected and analyzed based on patient specifications to facilitate more accurate diagnosis and treatment.
Finally, the book also discusses cutting-edge AI methods for IoT devices designed to treat neurological conditions.
Contents
1. Review on IoMT Applications for Advancements in Oral Cancer
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
