Analysis of the video motion tracking system “Kinovea” to assess surgical movements during robot‐assisted radical prostatectomy
A.J.W. Beulens, Hanae F Namba, Willem M. Brinkman, Richard P. Meijer, Evert L. Koldewijn, Ad J.M. Hendrikx, Jean‐Paul van Basten, Jeroen J. G. van Merriënboer, H.G. Van Der Poel, Chris Bangma, Cordula Wagner
- Year
- 2020
- Citations
- 16
- Access
- Open access
Abstract
BACKGROUNDS: Robot-assisted surgery facilitated the possibility to evaluate the surgeon's skills by recording and evaluating the robot surgical images. The aim of this study was to investigate the possibility of using a computer programme (Kinovea) for objective assessment of surgical movements in previously recorded in existing robot-assisted radical prostatectomy (RARP) videos. METHODS: Twelve entire RARP procedures were analysed by a trained researcher using the computer programme "Kinovea" to perform semi-automated assessment of surgical movements. RESULTS: Data analysis showed Kinovea was on average able to automatically assess only 22% of the total surgical duration per video of the robot-assisted surgery. On average, it lasted 4 hours of continued monitoring by the researcher to assess one RARP using Kinovea. CONCLUSION: Although we proved it is technically possible to use the Kinovea system in retrospective analysis of surgical movement in robot-assisted surgery, the acquired data do not give a comprehensive enough analysis of the video to be used in skills assessment.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002