ArmGuider Pro Upper Limb Rehabilitation Training System
Developed by ZD MedTech, ArmGuider Pro represents the company’s flagship upper limb rehabilitation training system. The planar robot design enables therapists to program customized training trajectories that adapt to individual patient recovery stages and motor capabilities.
Product Overview
ArmGuider Pro emerged from a strategic product development decision in 2016 when ZD MedTech pivoted from exoskeleton development to address more immediate clinical rehabilitation needs. The system operates within a two-dimensional plane, allowing therapists to design arbitrary movement trajectories for upper limb training. This approach provides flexibility in treatment protocols while maintaining the precision and repeatability that robotic assistance offers.
The system targets patients with upper limb motor dysfunction resulting from stroke, traumatic brain injury, and other neurological conditions. By combining robotic guidance with active patient participation, ArmGuider Pro supports motor learning principles that promote functional recovery.
Key Features
ArmGuider Pro is an NMPA-approved planar upper limb rehabilitation robot by ZD MedTech, enabling therapists to program custom 2D movement trajectories for stroke and traumatic brain injury recovery.
- Trajectory Planning: Therapists can program custom movement paths tailored to specific rehabilitation goals, from simple reaching tasks to complex functional movements
- Assistive-Resistive Modes: The system adjusts assistance levels based on patient capabilities, transitioning from full support to resistance training as recovery progresses
- Real-time Feedback: Visual and auditory feedback during training sessions helps maintain patient engagement and provides performance information
- Data Recording: Treatment sessions generate quantitative movement data for tracking progress and adjusting therapy protocols
Technical Specifications
ArmGuider Pro from ZD MedTech delivers NMPA-approved planar upper limb training with passive, active-assisted, and active-resistive control modes, visual and auditory feedback, and quantitative session data recording.
| Parameter | Specification |
|---|---|
| Workspace | Planar (2D) |
| Control Modes | Passive, Active-Assisted, Active-Resistive |
| Feedback Types | Visual, Auditory |
| Patient Interface | Adjustable arm support |
Clinical Applications
ArmGuider Pro addresses rehabilitation needs for patients experiencing:
- Post-stroke hemiparesis affecting arm and hand function
- Upper limb weakness following traumatic brain injury
- Motor coordination deficits from neurological conditions
- Reduced range of motion requiring mobilization
The system integrates into occupational therapy (OT) treatment programs, supplementing manual therapy techniques with consistent, repeatable robotic assistance.
Regulatory Status
| Region | Status | Date |
|---|---|---|
| China (NMPA) | Approved | - |
| Europe (CE) | Not Applied | - |
| USA (FDA) | Not Applied | - |
ArmGuider Pro holds NMPA medical device registration in China, enabling clinical use across rehabilitation facilities nationwide.
Frequently Asked Questions
What conditions does ArmGuider Pro treat?
ArmGuider Pro is designed for patients with upper limb motor dysfunction, particularly those recovering from stroke, traumatic brain injury, and other neurological conditions affecting arm movement and coordination.
How does ArmGuider Pro differ from exoskeleton rehabilitation robots?
Unlike wearable exoskeleton systems, ArmGuider Pro uses a planar robot design where patients interact with the device through an arm support mechanism. This approach allows for flexible trajectory programming and is well-suited for rehabilitation settings focused on reaching and manipulation training.
Is training data recorded for progress tracking?
Yes, the system captures movement data during training sessions, enabling therapists to track patient progress quantitatively and adjust treatment protocols based on objective performance metrics.
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Sources
Publicly available references used for the data on this page. See data methodology for verification standards.
