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This study investigated cost-effective accelerometer sensors on surgical instruments and wrists to assess progress of laparoscopic surgery training and differentiate between skill levels. K-means clustering was conducted to cluster the trials with the descriptive statistics of acceleration measurements, and three clusters (K = 3) emerged as three levels of training progress or proficiency that were also differentiated by the average task completion time of all the trials in the cluster. The result demonstrated the potential of cost-effective acceleration sensors for surgical training assessment.

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Predicting Training Progress in Surgical Expertise with Cost-Effective Accelerometers

  • 会议论文

  • 发表日期：

    2025年

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  • Jinwoo Oh,
  • Shiyu Deng,
  • Nathan Lau

摘要

This study investigated cost-effective accelerometer sensors on surgical instruments and wrists to assess progress of laparoscopic surgery training and differentiate between skill levels. K-means clustering was conducted to cluster the trials with the descriptive statistics of acceleration measurements, and three clusters (K = 3) emerged as three levels of training progress or proficiency that were also differentiated by the average task completion time of all the trials in the cluster. The result demonstrated the potential of cost-effective acceleration sensors for surgical training assessment.