BCI Hand Function Rehabilitation Robot System
Developed by Ruihan Medical, the BCI Hand Function Rehabilitation Robot System represents the world’s first commercially available brain-computer interface-based hand rehabilitation device. The system combines non-invasive EEG signal acquisition with robotic-assisted hand movements to create a closed-loop neural rehabilitation approach for stroke survivors and patients with motor dysfunction.
Product Overview
The BCI Hand Function Rehabilitation Robot System addresses a critical gap in stroke rehabilitation where traditional passive exercises fail to engage the patient’s neural pathways effectively. By capturing motor intention signals directly from the brain and translating them into robotic hand movements, the system creates an active rehabilitation paradigm grounded in neuroplasticity principles and mirror neuron theory.
The system consists of three core components: a wireless EEG headset for brain signal acquisition, a mechanical hand orthosis for assisted movement, and a control unit with proprietary algorithms that decode motor imagery and coordinate the rehabilitation protocol.
Key Features
Ruihan Medical’s BCI Hand Function Rehabilitation Robot System is the world’s first commercial brain-computer interface hand rehabilitation device, supporting 24 fine motor movements through NMPA-approved non-invasive EEG control.
- Motor Imagery Decoding: Proprietary algorithms capture and interpret motor intention from EEG signals, enabling patients to control the rehabilitation robot through thought
- 24 Fine Motor Movements: The mechanical hand orthosis supports 24 distinct finger and hand movements for full rehabilitation
- Real-time Brain Topography: Visual display of activated cortical areas provides immediate feedback on patient engagement
- Adaptive Difficulty Adjustment: Machine learning algorithms automatically calibrate training intensity based on patient progress
- Wireless Operation: Untethered EEG acquisition system allows natural patient positioning during therapy
- Cloud Data Processing: Training data visualization and online evaluation records support longitudinal tracking
Technical Specifications
Ruihan Medical’s BCI system decodes motor imagery from wireless digital EEG to drive 24 fine motor patterns across passive, active-assisted, and active training modes with cloud-based longitudinal data tracking.
| Parameter | Specification |
|---|---|
| BCI Type | Non-invasive (EEG-based) |
| Signal Acquisition | Wireless digital EEG |
| Motor Movements | 24 fine motor patterns |
| Training Modes | Passive, Active-assisted, Active |
| Control Algorithm | Motor imagery with deep learning |
| Data Interface | Cloud-connected for remote monitoring |
Clinical Applications
The system is indicated for rehabilitation of hand motor dysfunction caused by:
- Subacute and chronic stroke (cerebrovascular accident)
- Spinal cord injury affecting upper limb function
- Traumatic brain injury with motor impairment
- Peripheral nerve injury affecting hand function
- Central nervous system diseases with motor dysfunction
Clinical deployment has demonstrated approximately 80% effectiveness in promoting functional recovery. The system has been installed in over 100 hospitals and research institutions across China, with tens of thousands of patients treated to date.
Regulatory Status
| Region | Status | Date |
|---|---|---|
| China (NMPA) | Class II Approved | Yes |
| Europe (CE) | Not Applied | - |
| USA (FDA) | Not Applied | - |
The product was selected for the Ministry of Industry and Information Technology’s AI Medical Device Innovation Task as an “open competition” winning project, recognizing its technological advancement in the rehabilitation robotics field.
Frequently Asked Questions
How does the BCI system work for hand rehabilitation?
The system uses a wireless EEG headset to capture electrical signals from the brain when the patient imagines making hand movements. Proprietary algorithms decode these motor intention signals and send commands to a robotic hand orthosis, which then assists the patient’s hand in completing the movement. This creates a closed-loop from brain to peripheral movement, promoting neural pathway reorganization.
What is the typical treatment protocol?
Treatment protocols are individualized through the system’s intelligent prescription generation feature. Typically, patients undergo 30-60 minute sessions with multiple training modes including passive movement, active-assisted movement, and game-based training scenarios. The system automatically adjusts difficulty based on real-time monitoring of brain activity and motor performance.
Can this system be used for home rehabilitation?
Ruihan Medical has developed a consumer-grade hand massage device for home use following hospital-based rehabilitation. The clinical BCI system is primarily designed for use in medical institutions where trained rehabilitation professionals can supervise treatment protocols.
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Sources
Publicly available references used for the data on this page. See data methodology for verification standards.
