News | SRT Participates in Beijing Science and Technology Plan Project and Completes Pre-Research of Wrist-Hand Rehabilitation Training Device-SRT软体机器人,软体灵巧手,行业解决方案,北京软体机器人科技股份有限公司

News | SRT Participates in Beijing Science and Technology Plan Project and Completes Pre-Research of Wrist-Hand Rehabilitation Training Device

Recently, the project titled Development of a Wrist-Hand Rehabilitation Training Device Based on Practical Hand Function and Mirror Electromyography Recognition, a sub-project under the “Special Project for Research and Translational Application of Capital Clinical Characteristic Diagnosis and Treatment Technologies” of the Beijing Science and Technology Plan, successfully passed the acceptance review and was concluded. The project was led by Beijing Rehabilitation Hospital Affiliated to Capital Medical University, and jointly participated by Beijing Soft Robot Technology Co., Ltd. (SRT) and Beijing University of Technology.

Post-stroke hand dysfunction remains a major challenge in the field of rehabilitation. Existing rehabilitation devices still have limitations in terms of multi-degree-of-freedom thumb movement, wrist-hand coordination, and the precision of mirror training. To address these clinical needs, in this project, SRT focused its R&D efforts on the following technical aspects:

Soft bionic pneumatic actuation：Based on SRT’s technical expertise in the field of soft robotics, the project adopts a pneumatic control approach. By leveraging the deformation of bionic airbags to simulate finger flexion, extension, and dorsiflexion movements, this solution replaces traditional rigid structures, reducing device weight and improving compliance.

Wrist-hand coordination and multi-degree-of-freedom thumb movement：A multi-airbag composite motion structure was developed to achieve coordinated movement between hand training and wrist dorsiflexion, while also accommodating thumb abduction and adduction, thereby providing a structural foundation for practical hand function training.

Coordinated control system and scenario-based interactive module：A control module interfacing with the EMG recognition model was developed to convert motion intention into control commands for the air pump and solenoid valves. Meanwhile, a virtual scenario-based interactive training system was built to simulate activities of daily living (ADL) scenarios such as object holding and grasping.

Flexible sensing and force regulation：Pressure sensors are integrated into the glove to enable force sensing and assistive force regulation during training, supporting progressive object-grasping training.

What is truly inspiring is that this project integrates the "central–peripheral–central" closed-loop rehabilitation concept. With the high-precision EMG feedback active intention recognition model developed by the team from Beijing University of Technology, the device can decode the patient's motion intention in real time, enabling mirror therapy controlled by the patient's "intention" from the unaffected hand. This results in higher patient initiative, making training no longer a passive mechanical repetition. Coupled with the virtual scenario-based interactive training system developed by SRT, patients can perform hand function rehabilitation training in simulated daily living scenarios, such as picking up a cup or using a mouse, significantly improving the practicality and engagement of rehabilitation training.

As an important part of the Beijing Science and Technology Plan Project, this research has completed technological exploration and prototype validation in areas such as soft actuation, EMG recognition, and wrist-hand coordination, providing a reference for the development of related rehabilitation devices. This project represents a technological practice by SRT in the field of soft robotics for medical applications. Going forward, SRT will continue to deepen its R&D efforts, committed to applying soft robotics technology to more medical rehabilitation scenarios, and providing safer and more compliant rehabilitation assistance solutions for patients with hand dysfunction.