Khaled Alnowaiser
Papers
2
Total Citations
32
H-Index
2
About
Khaled Alnowaiser is a researcher at the forefront of rehabilitation robotics, specializing in the integration of the Internet of Things (IoT) and smart sensing for remote patient care. His work directly addresses the critical need for accessible, data-driven physiotherapy, particularly highlighted during the pandemic. Alnowaiser’s major contributions include the development of low-cost, open-source robotic systems for remote rehabilitation, such as his "Smart solution for pain detection in remote rehabilitation" (2021, 16 citations), which enables physiotherapists to supervise exercises and monitor patient discomfort from a distance. He further advanced the field with an IoT-based wrist rehabilitation robot (2022, 16 citations), introducing a novel protocol that dynamically models muscle injury states and continuously updates torque parameters based on both the robot’s and the patient’s input. This adaptive approach ensures personalized and responsive therapy. With each of his foundational papers accumulating 16 citations, Alnowaiser’s work is establishing a new paradigm for smart, connected, and patient-centric rehabilitation, demonstrating significant potential to transform clinical practice and improve outcomes for individuals recovering from injury.
Research Focus
Key Achievements
Top Papers
- 1Smart solution for pain detection in remote rehabilitation16 citations · 2021
- 2