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. Intelligent IoT is used to explore the intersection between medicine, data science, biomedical engineering, and healthcare systems. A comprehensive overview of modelling and analyzing the requirements of people with neurological disorders is presented in this book. Signals and images of biological activity are collected and analyzed based on patient specifications to facilitate more accurate diagnosis and treatment. The book also discusses cutting-edge AI methods for IoT devices designed to treat neurological conditions.

• 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, and 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