Related Experiment Video
Updated: Jul 18, 2025
08:01
Virtual Hand with Ambiguous Movement between the Self and Other Origin: Sense of Ownership and 'Other-Produced' Agency
Published on: October 28, 2020
5.7K
Measuring hand movement for suturing skill assessment: A simulation-based study
Amir Mehdi Shayan1, Simar Singh1, Jianxin Gao2
1Department of Bioengineering, Clemson University, SC.
Surgery
|August 19, 2023
Summary
This study introduces an instrumented suturing simulator using rotational motion analysis to objectively assess surgical skills. The system effectively differentiates between novice, resident, and attending surgeon skill levels, offering a more reliable training tool.
Area of Science:
- Biomedical Engineering
- Surgical Education
- Medical Simulation
Background:
- Simulation-based training is crucial for surgical skills education and patient safety.
- Current assessment tools often rely on subjective and resource-intensive human raters.
- Automated metrics from sensor data offer objective and efficient performance assessment.
Purpose of the Study:
- To develop and validate an instrumented bench suturing simulator for objective assessment of open suturing skills.
- To evaluate the effectiveness of automated hand motion metrics, particularly rotational analysis, in differentiating surgical skill levels.
Main Methods:
- 97 participants (35 attending surgeons, 32 residents, 30 novices) were recruited.
- An inertial measurement unit (IMU) was used to capture hand motion data.
- Rotational motion analysis metrics were developed to assess suturing performance.
Main Results:
- All developed metrics significantly differentiated between novices and experienced surgeons (attendings/residents).
- Novel rotational motion metrics distinguished finer skill differences between attending and resident groups.
- Traditional metrics like time and path length failed to differentiate between attendings and residents.
Conclusions:
- Rotational motion analysis is effective for objectively assessing suturing skills.
- IMU-based hand motion metrics provide valuable data for surgical skill assessment.
- This technology enhances the objectivity and efficiency of surgical simulator-based training.
