Rehabilitation Robotics and Healthcare Devices

Auteur
Manuel Cardona is the research director at Universidad Don Bosco, in El Salvador. He is a consultant for several companies on issues of innovation, automation, digital transformation, artificial intelligence, and electronic signature. He has authored more than 55 scientific articles and more than 180 conferences and five books. Dr. Cardona is also a reviewer for JCR specialized journals such as: Neural Computing and Applications (Springer), IEEE Sensors, Journal of Engineering and Science in Medical Diagnostics and Therapy (ASME), Journal of Mechanisms and Robotics (ASME), and International Journal of Smart Sensor Technologies and Applications, among others. His research areas include rehabilitation robotics, serial and parallel robot kinematics and dynamics, internet of things, smart cities, computer vision, artificial intelligence, industry 4.0, digital transformation, disruptive technologies and robotic systems applications. He is an IEEE Senior Member and the IEEE El Salvador Section Chair.

Texte du rabat

Rehabilitation Robotics and Healthcare Devices presents cutting-edge topics in rehabilitation robotics and healthcare devices, covering basic concepts and providing readers with enough information to solve various practical problems. The book proves to be an excellent source to study the different emerging paradigms in rehabilitation robotics and healthcare areas, including related technologies such as sensors, wearable devices, internet of medical things, big data, machine learning for eHealth, edible sensors, robots in medicine, and exoskeleton robots for rehabilitation.

Contenu

Section I. Fundamental of Rehabilitation & Healthcare Technologies, Future directions, and challenges 1. Introduction to Rehabilitation Technologies 2. Rehabilitation Robotics and Healthcare Technologies 3. Future Trends & Challenges in Rehabilitation Robotics Section II. Internet of Medical Things and Wearable Medical Devices 4. Internet of Things for Medical Solutions 5. Remote Patient Monitoring 6. Security Issues and Concerns in IoMT Section III. Big Data and Machine Learning in Healthcare Applications 7. Machine Learning for Clinical Applications 8. Machine Learning and Deep Learning for Medical Diagnosis 9. Ethical Issues for ML and DL in Healthcare Applications 10. Big Data & Data Science in Healthcare Applications Section IV. Emerging Trends for Healthcare Applications: Biomedical Informatics, Edible Sensors, Brain Computer Interfaces and Simulation, Bio-feedback Devices. 11. Biomedical Informatics and its Applications 12. Edible Sensors: State of the Art and Future Trends 13. Brain Computer Interfaces Applied to Exoskeleton Robots Section V. Medical & Rehabilitation Robotics 14. Robotics for Medical Applications: State of the Art 15. Robotics for people with disabilities 16. Smart Bionic Prostheses 17. Present and Future of Exoskeleton Robots for Rehabilitation