First prize, lower limb fracture reset and rehabilitation robot!

With the cross -impact of various factors such as economic and social development, aging population aging, and expansion of the scale of transportation, frequent occurrence of traumatic fracture diseases have frequently become a prominent problem that affects human life and health. The orthopedic medical robot team from Tianjin University MRS Laboratory currently develops and designed "lower limb fracture reset and rehabilitation integrated robot" can achieve personalized accurate reset and quantitative rehabilitation of fracture patients. The project recently won the first prize in the 4th China Graduate Robotic Innovation Design Competition. The team has five participants. Professor Sun Tao and Associate Professor Lian Binbin are guidance teachers.

Traditional fracture surgery is subject to the experience of physicians and the equipment during the operation. There are insufficient risk of surgical risk, large trauma, and difficulty in the popularization of complex surgery. Since the mid -1990s, robotics technology has been introduced into the field of orthopedics. Clinically, it has assisted doctors for precise control and minimally invasive operations. It has obvious advantages in improving surgical accuracy, reducing surgical damage, and reducing physician labor intensity. However, clinically, there are currently problems such as poor reduction accuracy, lack of strength/bit feedback, reset/rehabilitation, blindization of rehabilitation, and long rehabilitation cycle in clinical fracture and rehabilitation. In response to these issues, the team proposed the use of robotic technology to achieve the integrated concept of fracture precision reset and postoperative quantitative rehabilitation. Focusing on this topic, they developed the world's first wearable fracture surgery and rehabilitation robot with a weight of less than 2kg, and formed a supporting fracture reset trajectory planning software. This system can achieve a reset accuracy within 1.1mm and 1.2 ° to effectively improve the effect of fracture reset.

He Zhiyuan, the captain of the award -winning team and doctoral student of Tianjin University, introduced that the integrated robot developed by the team can obtain the stress of the end of the robot through force collection systems, and use joint space -based guidance controller Soft and safe control. Considering mechanical stimulus regulatory cell tissue differentiation, the team proposed a set of bone tissue growth algorithms, describing the second healing mechanism of a fracture of micro -particle growth in macro stimuli, and forming a complete mechanical regulatory model to achieve the postoperative fracture healing of patients. Personalized analysis. "This is actually based on the mechanism of bone healing, which can promote the healing process of the bone by regular external force stimulation by regular external force stimulation. The whole process of fixation and rehabilitation exercise after surgery can achieve the integration of fracture reset and rehabilitation.

In addition, research has formed a set of information collection monitoring and evaluation systems for fracture surgery and postoperative rehabilitation. This system can achieve exercise/force information collection at different stages of fracture therapy, and rely on the quantitative evaluation of surgery and rehabilitation by relying on the detachment and corner deformed parameters, the static load -bearing ratio, the dynamic weight ratio, and the ankle joint activity. Planning patient's rehabilitation treatment plan. At present, the team is cooperating with the First Medical Center of the General Hospital of the People's Liberation Army, Tianjin University Tianjin Hospital, and Beijing Tonghe Litai Biotechnology Co., Ltd. to conduct animal experiments and clinical trials.

The 4th China Graduate Robotic Innovation Design Competition is directed by the Department of Degree Management and Graduate Education of the Ministry of Education. The theme of "human -machine symbiosis, empowering the future". There are 884 teams from 174 universities and research institutes in this contest, including 15 first prizes.

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