Robotic Surgery Training System

To implement various feedback mechanism – haptic, visual, audio – in a robotic surgery training setup and investigate the effectiveness of each for skill acquisition.
Description of the Project: 

One of the major drawbacks of robotic surgery is the loss of haptic feedback. The only feedback that surgeons receive is simply the visual cues.  We hypothesise that provision of different modality feedback including haptic, visual, and audio might enhance learning and speed up skill acquisition during training for robotic surgery.  We will experiment with different groups of novice subjects and trainee surgeons through various robotic surgery training procedures, while allowing the subjects to receive different combination/amount of feedback (haptic, audio, visual). We will analyse the performance of the subjects in different stages of learning and with different feedbacks and identify the optimal form and combination of feedback for robotic surgery training.

 

 

Project number: 
100018
First Supervisor: 
University: 
Heriot-Watt University
Second Supervisor(s): 
First supervisor university: 
Heriot-Watt University
Essential skills and knowledge: 
Robotics
Desirable skills and knowledge: 
Medical robotics, machine learning, image processing.
References: 
  • Tugal, H., Gautier, B., Kircicek, M., and Erden, M.S., 2018, "Hand-Impedance Measurement During Laparoscopic Training Coupled with Robotic Manipulators", Proc. of  IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018), October 1-5, Madrid, accepted.
  • Erden, M.S., Rosa, B., Szewczyk, J. and Morel, G., 2013, “Understanding Soft Tissue Behavior for Application to Microlaparoscopic Surface Scan”, IEEE Transactions on Biomedical Engineering, vol. 60 (4): 1059-1068.
  • El Boghdady, M., Alijani, A., 2018, "The Application of a Performance-Based Self-Administered Intra-procedural Checklist on Surgical Trainees During Laparoscopic Cholecystectomy", World J Surg., Jun, 42 (6): 1695-1700.
  • El Boghdady, M., Ramakrishnan, G., Tang, B., and Alijani, A., 2018, "A Comparative Study of Generic Visual Components of Two-Dimensional Versus Three-Dimensional Laparoscopic Images", World J Surg., Mar, 42 (3): 688-694.
  • Alam, M., Wilson, MSJ., Tang, B., Tait, I.S., and Alijani, A., 2017, "A training tool to assess laparoscopic image navigation task performance in novice camera assistants", J Surg Res., Nov, 219:232-237.