Objectivizing Measures of Post-Stroke Hand Rehabilitation through Multi-Disciplinary Scales

Area of Science:

• Neurorehabilitation
• Biomedical Engineering
• Clinical Measurement

Background:

• Post-stroke upper limb and hand impairments (paralysis, paresis, spasticity) necessitate effective outcome evaluation.
• Current selection of rehabilitation outcome measures is highly varied, with inconsistent use of standardized tools.
• Lack of clear recommendations hinders objective assessment of therapy effectiveness in hand function recovery.

Purpose of the Study:

• To identify key parameters for upper limb and hand rehabilitation outcome measures in post-stroke patients.
• To assist researchers and clinicians in selecting appropriate instruments for evaluating hand function recovery.
• To analyze current trends and novel technologies in hand outcome measurement for stroke survivors.

Main Methods:

• Systematic review of existing literature on outcome measures for upper limb and hand rehabilitation in post-stroke adults.
• Analysis of parameters and skills assessed by various measurement tools and instruments.
• Identification and description of established and emerging technologies for objective assessment.

Main Results:

• Clinicians utilize a range of tools, including EMG, goniometers, and hand dynamometers.
• Emerging technologies like AI-driven pose estimation and custom grip devices are gaining traction.
• Orthopedic and surgical outcome scales are being adapted for neurological patients to improve objectivity.

Conclusions:

• Standardized and objective outcome measures are vital for effective upper limb and hand rehabilitation in stroke patients.
• Integrating advanced technologies can enhance the precision and objectivity of hand function assessments.
• Further research and clear guidelines are needed to optimize the selection and application of outcome measures in neurorehabilitation.