Design and evaluation of a smart passive dynamic arm support for robotic-assisted laparoscopic surgery
Pim Schrijvershof (Student TU Delft)
A. Masie Rahimi (Amsterdam UMC, Amsterdam Skills Centre for Health Sciences, Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis)
Nicola Leone (University of Turin)
Alexander Bloemendaal (Reinier de Graaf Gasthuis)
Freek Daams (Nederlands Kanker Instituut - Antoni van Leeuwenhoek ziekenhuis, Amsterdam UMC, Amsterdam Skills Centre for Health Sciences)
Alberto Arezzo (University of Turin)
Yoav Mintz (Hadassah-Hebrew University Medical Center)
Tim Horeman (TU Delft - Mechanical Engineering)
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Abstract
Surgeons performing robotic-assisted laparoscopic surgery experience physical stress and overuse of shoulder muscles due to sub-optimal arm support during surgery. The objective is to present a novel design and prototype of a dynamic arm support for robotic laparoscopic surgery to evaluate its ergonomics and performance on the AdLap-VR simulation training device. The prototype was designed using the mechanical engineering design process: Technical requirements, concept creation, concept selection, 3D-design and built of the prototype. A crossover study was performed on a marble sorting task on the AdLap-VR. The first group performed four trials without the arm support, followed by four trials with the arm support, and the other group executed the sequence vice versa. The performance parameters used were time to complete (s), path length (mm), and the number of collisions. Afterward, the participants filled out a questionnaire on the ergonomic experience regarding both situations. 20 students executed 160 performed trials on the AdLap-VR Significant decreases in the subjective comfort parameters mental demand, physical demand, effort and frustration were observed as a result of introducing the novel arm support. Significant decreases in the objective performance parameters path length and the number of collisions were also observed during the tests. The newly developed dynamic arm support was found to improve comfort and enhance performance through increased stability on the robotic surgery skills simulator AdLap-VR.
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