Beyond the Wrist: Finger-Worn Accelerometers Enhance Assessment of Post-Stroke Motor Performance

Area of Science:

• Rehabilitation Medicine
• Wearable Technology
• Biomedical Engineering

Background:

• Accurate motor performance assessment is vital for stroke rehabilitation.
• Wrist-worn accelerometers capture arm/forearm movement but miss hand/finger function.
• This limitation hinders comprehensive wearable-based motor assessment in clinical practice.

Purpose of the Study:

• To compare the convergent validity of finger-worn vs. wrist-worn accelerometers for upper limb motor performance assessment.
• To evaluate if finger-worn sensors offer a more complete evaluation by capturing proximal and distal movements.

Main Methods:

• Bilateral accelerometer data collected from 24 stroke survivors during daily activities.
• Used both finger-worn and wrist-worn devices simultaneously.
• Correlated sensor data with Fugl-Meyer Assessment for Upper Extremity (FMA-UE) scores.

Main Results:

• Finger-worn accelerometer metrics showed stronger correlations with FMA-UE scores.
• Finger-worn sensors better captured fine hand movements, improving assessment validity.
• Finger-worn sensors were more sensitive in distinguishing performance between mild and moderate impairment levels.

Conclusions:

• Finger-worn accelerometers offer superior convergent validity for post-stroke motor impairment assessment compared to wrist-worn devices.
• Their ability to capture both proximal and distal movements enhances comprehensive motor performance evaluation.
• These findings support the use of finger-worn sensors for improved stroke rehabilitation monitoring.