01 Product Introduction
The A5-2 Finger Joint Rehabilitation Assessment System is an intelligent rehabilitation device integrating assessment and treatment. Through a soft pneumatic glove combined with surface electromyography (SEMG) technology, the system can accurately capture the patient's hand movement intentions, achieving a combination of active and passive rehabilitation training. Simultaneously, the system possesses comprehensive hand function assessment and patient management functions, assisting rehabilitation therapists in developing personalized treatment plans and improving rehabilitation efficiency.
02 Function Details
1) Patient Information Management: The Cornerstone of Personalized Rehabilitation
The system meticulously records patient information such as gender, age, Brunnstrom stage, glove size, affected side, and disease diagnosis. All assessment and treatment records are automatically saved and archived, laying a data foundation for developing and tracking personalized rehabilitation plans.
2)Quantitative Assessment of Hand Function: Precise Monitoring, Data-Driven
The system can precisely quantify and assess the movement angle and range of motion of each finger, automatically generating visual reports and rehabilitation trend charts. Objective data supports the evaluation of rehabilitation effects and assists clinical decision-making.
3)Intelligent Pneumatic-Electro-Synchronous Combined Training: Intent Capture, Real-Time Assistance
1. Triggered Pneumatic-Electro-Synchronous Combined Training: Utilizing electromyography (EMG) technology to collect the patient's active movement intentions in real time, triggering a combined output of pneumatic and electrical stimulation to achieve a rehabilitation training combining active and passive movements.
2. Induced Pneumatic-Electro-Synchronous Combined Training: Using EMG technology to collect the patient's active movement intentions in real time, the system actively coordinates the intensity of pneumatic and electrical stimulation assistance, dynamically adjusting based on real-time monitoring data to provide just the right amount of movement assistance
4)Integrated Multi-Mode Training: Mirror-Guided, Resistance-Enhanced
1. Mirror-Guided Training Mode: A camera collects motion signals from the healthy hand, driving the affected hand to completely replicate the movements, promoting nerve function reconstruction and bilateral coordination.
2. Passive Fine Motor Training: Supports passive training of fine motor skills such as fist clenching, single-finger striking, finger opposition, and pinching, rebuilding basic hand function.
3. Resistance Training Mode: Soft gloves provide bidirectional progressive resistance, with 5 levels of adjustable resistance intensity to meet muscle strength enhancement needs.
4. Active and Combined Training: Combining a camera and force sensor, active training is conducted through scene interaction and game feedback, supporting customized programs to meet personalized rehabilitation progress.
5. Gamified Interactive Training: Supports three input methods: camera, electromyography (EMG), and grip strength, enhancing training fun and patient participation.
03 Application Scenarios
This product is suitable for rehabilitation medicine, orthopedics/hand surgery, neurology/surgery, occupational injury rehabilitation, geriatrics, etc., and is widely used in the following rehabilitation scenarios:
Orthopedic Diseases and Postoperative Rehabilitation:
Finger Joint Injuries and Postoperative Rehabilitation: Postoperative repair of fractures, joint dislocations, and tendon injuries.
Joint Diseases: Osteoarthritis (OA), rheumatoid arthritis (RA), tenosynovitis.
Nervous System Disease Rehabilitation:
Central Nervous System Injuries: Stroke, cerebral palsy, spinal cord injury.
Peripheral Nerve Injuries: Median nerve injury, ulnar nerve injury, radial nerve injury.
Muscle and Tendon Disease Rehabilitation:
Hand Muscle Atrophy and Weakness: Disuse atrophy, muscle strains or tears, finger stiffness and contractures, abnormal muscle tone.




















