Assessing Arthroscopic Skills Using Wireless Elbow-Worn Motion Sensors

Area of Science:

• Surgical Education and Training
• Biomedical Engineering
• Orthopedic Surgery

Background:

• Surgical skill assessment is crucial for training but often relies on subjective measures.
• Objective methods like Global Rating Scales are used, but limitations exist.
• This study explores wireless motion sensors for objective assessment of arthroscopic surgical skills.

Purpose of the Study:

• To validate the use of elbow-worn, wireless motion sensors for assessing technical skill in arthroscopic surgery.
• To compare the effectiveness of elbow-worn versus wrist-worn sensors.
• To introduce a feasible objective assessment system for the operating theater.

Main Methods:

• Thirty participants (novices, intermediates, experts) performed standardized arthroscopic tasks on a virtual reality simulator.
• Wireless wrist and elbow motion sensors recorded movement data.
• Performance was assessed using Global Rating Scales, simulator metrics, and custom algorithms generating an arthroscopic performance score.

Main Results:

• Significant differences in Global Rating Scale scores and simulator metrics were found between skill groups (p < 0.001).
• High correlations were observed between sensor data and simulator metrics (p < 0.001).
• Elbow-worn sensors demonstrated stronger and more significant correlations with Global Rating Scale scores than wrist-worn sensors (p < 0.001).

Conclusions:

• A novel wireless system using elbow-worn motion sensors provides a valid and objective method for assessing arthroscopic surgical skills.
• This system accurately measures surgical dexterity and performance.
• The technology offers a feasible solution for live surgical environments and potential application in other specialties.