Rehabilitation Robotics and Healthcare Devices
- 1st Edition - November 20, 2024
- Latest edition
- Editor: Manuel Cardona
- Language: English
Rehabilitation Robotics and Healthcare Devices presents cutting-edge topics in rehabilitation robotics and healthcare devices, covering basic concepts and providing readers with e… Read more
Description
Description
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.
Key features
Key features
- Edited by globally known researchers
- Provides fundamental concepts for emerging rehabilitation and healthcare technologies
- Shows different applications and cases in rehabilitation and healthcare technologies
Readership
Readership
Graduate students, researchers, professors in the areas of robotics, biomechanics, Internet of Medical Things, biomedical engineering, healthcare and rehabilitation engineering, Industry practitioners in rehabilitation engineering, design, biomechanical and robotics design areas
Table of contents
Table of contents
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
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
Product details
Product details
- Edition: 1
- Latest edition
- Published: November 20, 2024
- Language: English
About the editor
About the editor
MC
Manuel Cardona
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.
Affiliations and expertise
Research Director, Universidad Don Bosco, El SalvadorView book on ScienceDirect
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