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.

• Section I. Fundamental of Rehabilitation & Healthcare Technologies, Future directions, and challenges1. Introduction to Rehabilitation Technologies2. Rehabilitation Robotics and Healthcare Technologies3. Future Trends & Challenges in Rehabilitation RoboticsSection II. Internet of Medical Things and Wearable Medical Devices4. Internet of Things for Medical Solutions5. Remote Patient Monitoring6. Security Issues and Concerns in IoMTSection III. Big Data and Machine Learning in Healthcare Applications7. Machine Learning for Clinical Applications8. Machine Learning and Deep Learning for Medical Diagnosis9. Ethical Issues for ML and DL in Healthcare Applications10. Big Data & Data Science in Healthcare ApplicationsSection IV. Emerging Trends for Healthcare Applications: Biomedical Informatics, Edible Sensors, Brain Computer Interfaces and Simulation, Bio-feedback Devices.11. Biomedical Informatics and its Applications12. Edible Sensors: State of the Art and Future Trends13. Brain Computer Interfaces Applied to Exoskeleton RobotsSection V. Medical & Rehabilitation Robotics14. Robotics for Medical Applications: State of the Art15. Robotics for people with disabilities16. Smart Bionic Prostheses17. Present and Future of Exoskeleton Robots for Rehabilitation

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.

• Section I. Fundamental of Rehabilitation & Healthcare Technologies, Future directions, and challenges1. Introduction to Rehabilitation Technologies2. Rehabilitation Robotics and Healthcare Technologies3. Future Trends & Challenges in Rehabilitation RoboticsSection II. Internet of Medical Things and Wearable Medical Devices4. Internet of Things for Medical Solutions5. Remote Patient Monitoring6. Security Issues and Concerns in IoMTSection III. Big Data and Machine Learning in Healthcare Applications7. Machine Learning for Clinical Applications8. Machine Learning and Deep Learning for Medical Diagnosis9. Ethical Issues for ML and DL in Healthcare Applications10. Big Data & Data Science in Healthcare ApplicationsSection IV. Emerging Trends for Healthcare Applications: Biomedical Informatics, Edible Sensors, Brain Computer Interfaces and Simulation, Bio-feedback Devices.11. Biomedical Informatics and its Applications12. Edible Sensors: State of the Art and Future Trends13. Brain Computer Interfaces Applied to Exoskeleton RobotsSection V. Medical & Rehabilitation Robotics14. Robotics for Medical Applications: State of the Art15. Robotics for people with disabilities16. Smart Bionic Prostheses17. Present and Future of Exoskeleton Robots for Rehabilitation

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.

• Section I. Fundamental of Rehabilitation & Healthcare Technologies, Future directions, and challenges1. Introduction to Rehabilitation Technologies2. Rehabilitation Robotics and Healthcare Technologies3. Future Trends & Challenges in Rehabilitation RoboticsSection II. Internet of Medical Things and Wearable Medical Devices4. Internet of Things for Medical Solutions5. Remote Patient Monitoring6. Security Issues and Concerns in IoMTSection III. Big Data and Machine Learning in Healthcare Applications7. Machine Learning for Clinical Applications8. Machine Learning and Deep Learning for Medical Diagnosis9. Ethical Issues for ML and DL in Healthcare Applications10. Big Data & Data Science in Healthcare ApplicationsSection IV. Emerging Trends for Healthcare Applications: Biomedical Informatics, Edible Sensors, Brain Computer Interfaces and Simulation, Bio-feedback Devices.11. Biomedical Informatics and its Applications12. Edible Sensors: State of the Art and Future Trends13. Brain Computer Interfaces Applied to Exoskeleton RobotsSection V. Medical & Rehabilitation Robotics14. Robotics for Medical Applications: State of the Art15. Robotics for people with disabilities16. Smart Bionic Prostheses17. Present and Future of Exoskeleton Robots for Rehabilitation