Upper limb robotic rehabilitation
Rehabilitation
≈ ¥200-600
(≈ $30-90)
30 min
Disclaimer: This site is a medical service platform; some page content is AI-assisted. Health-related information does not constitute medical advice. If you have any questions, please consult a healthcare professional. See full disclaimer
Description
Estimated cost for Upper limb robotic rehabilitation at general public hospitals in China is about ¥140-480, and at Grade 3A hospitals about ¥200-600, varying by hospital tier and region.
Main Uses
Primary clinical uses include neurorehabilitation for post-stroke upper limb motor recovery, traumatic brain injury (TBI) and spinal cord injury (SCI) rehabilitation, cerebral palsy management in adolescents/adults, and post-surgical orthopedic recovery (e.g., after shoulder arthroplasty or nerve repair). It enables high-intensity, repetitive, task-oriented training with real-time biofeedback, objective progress tracking, adaptive assistance/resistance, and integration with virtual reality environments — supporting motor learning principles such as use-dependent plasticity, error-based learning, and reinforcement learning.
Normal Range
Upper limb rehabilitation robot training is not a diagnostic laboratory test with numerical biomarkers; therefore, it has no universal 'normal range' of quantitative values. Instead, clinical benchmarks are individualized and based on patient-specific functional goals, such as improvement in Fugl-Meyer Assessment–Upper Extremity (FMA-UE) score (normal post-stroke recovery target: ≥10-point gain over 4–8 weeks), active range of motion (AROM) gains (e.g., ≥15° increase in shoulder flexion/abduction per 2 weeks), or robotic-assisted metrics like movement smoothness (normalized jerk index < 2.5), task success rate (>75% for goal-directed reaching), and effort ratio (assisted torque % < 30% in later training stages). Baseline assessments prior to intervention establish personalized reference thresholds.
Low Values - Possible Causes
1. Severe neuromuscular impairment (e.g., acute stroke with NIHSS >20 or high cervical spinal cord injury); 2. Significant joint contractures or pain limiting robotic engagement; 3. Cognitive deficits (e.g., neglect, low attention span, or executive dysfunction) impairing task comprehension and participation; 4. Poor patient motivation or adherence due to depression, fatigue, or unrealistic expectations; 5. Inadequate device calibration or suboptimal therapist supervision leading to insufficient challenge or excessive assistance.
High Values - Possible Causes
1. Overly aggressive training parameters (e.g., excessive resistance, speed, or task difficulty) causing compensatory movements or fatigue-related performance decline; 2. Excessive robotic assistance masking true motor capacity (i.e., 'slacking' or reduced voluntary effort); 3. Sensorimotor mismatch or maladaptation (e.g., learned non-use reinforcement due to poorly designed feedback protocols); 4. Acute musculoskeletal strain or spasticity flare-up triggering protective movement inhibition during training; 5. Technical artifacts (e.g., calibration drift, EMG sensor noise, or software latency) falsely inflating kinematic variability or error metrics.