Rehabilitation Robotics and Healthcare Devices
Editat de Manuel Cardonaen Limba Engleză Paperback – 20 noi 2024
- Edited by globally known researchers
- Provides fundamental concepts for emerging rehabilitation and healthcare technologies
- Shows different applications and cases in rehabilitation and healthcare technologies
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Specificații
ISBN-13: 9780443215056
ISBN-10: 0443215057
Pagini: 228
Dimensiuni: 152 x 229 mm
Greutate: 0.31 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0443215057
Pagini: 228
Dimensiuni: 152 x 229 mm
Greutate: 0.31 kg
Editura: ELSEVIER SCIENCE
Cuprins
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