Ultrasonic Sensor-based Rehabilitation Training of Finger Exoskeleton Robots

Abstract

Finger exoskeleton robots are gradually gaining attention as the demand for rehabilitation increases. Due to the limitations of traditional rehabilitation means, research on finger exoskeleton robot rehabilitation using ultrasonic sensors is particularly necessary. This thesis explores the application of finger exoskeleton rehabilitation robots with ultrasonic sensors in the field of medical rehabilitation and its potential impact. By combining precise ultrasonic sensing technology and intelligent control algorithms, this exoskeleton robot can provide patients with personalized rehabilitation training programs, thus improving rehabilitation efficiency and quality of life. The study shows that the exoskeleton robot not only meets the growing demand for care in an aging society but also effectively assists athletes in their post-injury recovery. In addition, combined with telemedicine and big data analytics, the technology helps to advance research and optimization in rehabilitation science. Therefore, the ultrasonic sensor finger exoskeleton rehabilitation robot will play an important role in facilitating patient rehabilitation, enhancing the independence of life, and promoting medical science and technology innovation.