Quantification of Finger-Tapping Angle Based on Wearable Sensors

Area of Science:

• Biomedical Engineering
• Neuroscience
• Rehabilitation Technology

Background:

• Accurate assessment of finger-tapping is crucial for diagnosing and monitoring neurological and motor impairments.
• Existing methods may be complex, expensive, or lack quantitative precision.
• A simplified, accessible approach for finger-tapping assessment is needed.

Purpose of the Study:

• To develop and validate a novel, simple method for quantitative and qualitative finger-tapping assessment.
• To utilize miniature inertial sensors (3D gyroscopes) for precise measurement of finger movements.
• To establish a simplified metric for finger-tapping analysis.

Main Methods:

• Implementing miniature 3D gyroscopes on the thumb and index finger.
• Defining finger tapping via a single angle representing rotation around a dominant axis.
• Validating the method on twelve subjects performing various tapping tasks.

Main Results:

• The proposed method demonstrated excellent accuracy when compared to a motion capture system.
• The average root-mean-square (RMS) error was below 4 degrees.
• The average intraclass correlation coefficient exceeded 0.972, indicating high reliability.

Conclusions:

• The novel inertial sensor-based method provides a simple, accurate, and reliable approach to finger-tapping assessment.
• This technique offers a promising tool for clinical practice, potentially enhancing diagnostic capabilities when combined with clinical scores.
• The defined tapping angle metric is broadly applicable to various finger-tapping assessment systems.