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Upper limb robotic rehabilitation

Rehabilitation estimated about CNY 320-850
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Description

A therapeutic intervention using robotic devices to assist and enhance motor recovery and functional training of the arm, shoulder, and hand in patients with neurological or musculoskeletal impairments.

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.
estimated about CNY 320-850
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