Abstract
Conventional practice for surgical skill assessment relies heavily on expert surgeons using direct observation of outcomes. This is highly subjective and prone to inter and intra-rater’s variability. The aim of this study is to develop a computer based assessment module and to identify the measurable parameters that can be used to assess surgical skill objectively. The virtual-reality computer modules namely ‘Needle Grasping’ were developed using Visual C++, PHANTOM Omni haptic device and sensors emulated a fundamental step in suturing and evaluated the needle grasping angle and grasping position. To validate the modules, experiments was conducted with 4 surgeons and 11 non-surgeons to identify significant parameters that could differentiate between expert and novice subjects. Experimental results showed that surgeons outperformed non-surgeons significantly in needle grasping position, where the comparison values were 2.64 ± 3.48 and 3.99 ± 3.94, respectively.
Original language | English |
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Pages (from-to) | 220-224 |
Number of pages | 5 |
Journal | International Journal of Advanced Trends in Computer Science and Engineering |
Volume | 9 |
Issue number | 1.1 Special Issue |
DOIs | |
Publication status | Published - 2020 |
Keywords
- Assessment parameter
- Psychomotor skill
- Surgical skill
- Virtual reality