Articles
| Open Access | ROBOTICS AND SENSOR SYSTEMS USED IN REHABILITATION EQUIPMENT
Olishova Risolat Abduvali qizi , Andijan State Institute of Technology Faculty of Biomedical Engineering 3nd-year studentAbstract
The integration of robotics and sensor systems in rehabilitation equipment represents a transformative approach in modern physiotherapy and assistive technologies. This article explores the design, implementation, and clinical applications of robotic rehabilitation devices enhanced with high-precision sensors. These systems enable real-time monitoring of patient movements, muscle activity, and biomechanical parameters, allowing for adaptive therapy that responds to individual patient needs. By combining robotic actuation with sensor feedback, rehabilitation equipment can optimize exercise intensity, improve motor learning, and accelerate recovery while reducing the risk of injury. The paper also highlights the role of artificial intelligence algorithms in processing sensor data to personalize rehabilitation protocols, track progress, and provide predictive insights for therapy adjustments. Furthermore, the study discusses recent technological advancements, including wearable exoskeletons, force-sensitive manipulators, and smart physiotherapy platforms, demonstrating their effectiveness in restoring mobility and enhancing quality of life for patients with neurological, musculoskeletal, and post-operative conditions.
Keywords
Robotics, sensor systems, rehabilitation equipment, adaptive therapy, real-time monitoring, muscle activity, biomechanics, personalized rehabilitation, smart physiotherapy, exoskeleton.
References
Smith, J., & Brown, L. (2022). Intelligent Rehabilitation Robotics: Advances and Clinical Applications. Journal of Biomedical Engineering, 45(3), 215–233.
Johnson, M., Lee, H., & Thompson, R. (2021). Integration of Sensors and Mechanical Systems in Modern Medical Devices. Medical Device Technology, 38(4), 112–130.
Roberts, K., & White, P. (2020). BioErgoSense: Human-Centered Ergonomic Design in Healthcare Equipment. International Journal of Ergonomics, 55(2), 99–118.
Zhang, Y., & Liu, S. (2023). Adaptive Biosignal Monitoring in Smart Sterilization Systems. IEEE Transactions on Biomedical Engineering, 70(5), 1523–1538.
Martinez, A., & Gomez, R. (2022). Robotics and Sensor Systems in Rehabilitation: Enhancing Patient Recovery and Operator Safety. Rehabilitation Engineering Journal, 29(1), 45–67.
Article Statistics
Downloads
Copyright License

This work is licensed under a Creative Commons Attribution 4.0 International License.