A Graphical Tool for Parsing and Inspecting Surgical Robotic Datasets

Skill and practice of surgeons greatly affect the outcome of surgical procedures, thus surgical skill assessment is exceptionally important. In the clinical practice, even today, the standard is peer assessment of the capabilities. In the case of robotic surgery, the observable motion of the laparoscopic tools can hide the expertise level of the operator. JIGSAWS is a database containing kinematic and video data of surgeons training with the da Vinci Surgical System. The JIGSAWS can be an extremely powerful tool in surgical skill assessment research, but due to its data-storage it is not user-friendly. In this paper, we propose a graphical tool for the JIGSAWS, which can ease the usage of this annotated surgical dataset.

[1]  Alyssa Tanaka,et al.  Robotic surgery simulation validity and usability comparative analysis , 2016, Surgical Endoscopy.

[2]  Rufus Fraanje,et al.  Python in robotics and mechatronics education , 2016, 2016 11th France-Japan & 9th Europe-Asia Congress on Mechatronics (MECATRONICS) /17th International Conference on Research and Education in Mechatronics (REM).

[3]  Henry C. Lin,et al.  JHU-ISI Gesture and Skill Assessment Working Set ( JIGSAWS ) : A Surgical Activity Dataset for Human Motion Modeling , 2014 .

[4]  Gregory D. Hager,et al.  Task versus Subtask Surgical Skill Evaluation of Robotic Minimally Invasive Surgery , 2009, MICCAI.

[5]  V. Krovi,et al.  Robotic Minimally Invasive Surgical skill assessment based on automated video-analysis motion studies , 2012, 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob).

[6]  Peter Kazanzides,et al.  An open-source research kit for the da Vinci® Surgical System , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

[7]  Imre J. Rudas,et al.  Origins of surgical robotics: From space to the operating room , 2016 .