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A practical system for recording instrument interactions during live robotic surgery.
McMahan, William; Gomez, Ernest D; Chen, Liting; Bark, Karlin; Nappo, John C; Koch, Eza I; Lee, David I; Dumon, Kristoffel R; Williams, Noel N; Kuchenbecker, Katherine J.
Afiliação
  • McMahan W; Mechanical Engineering and Applied Mechanics Department, University of Pennsylvania, Philadelphia, PA, 19104, USA. wmcmahan@seas.upenn.edu.
  • Gomez ED; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Chen L; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Bark K; Mechanical Engineering and Applied Mechanics Department, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Nappo JC; Mechanical Engineering and Applied Mechanics Department, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Koch EI; Mechanical Engineering and Applied Mechanics Department, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Lee DI; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Dumon KR; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Williams NN; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
  • Kuchenbecker KJ; Mechanical Engineering and Applied Mechanics Department, University of Pennsylvania, Philadelphia, PA, 19104, USA.
J Robot Surg ; 7(4): 351-8, 2013 Dec.
Article em En | MEDLINE | ID: mdl-27001874
ABSTRACT
We have developed a system for measuring and recording the high-frequency vibrations that characterize instrument interactions during minimally invasive robotic surgery. Consisting of simple circuitry and a DVD recorder, this system is low-cost and easily implementable, requires no sterilization, and enables measurement of a validated, objective technical skill metric in both the simulated setting and the operating room. The vibration recordings of fourteen sleeve gastrectomies were processed by segmenting the operation into seven phases and calculating the root mean square (RMS) vibration within each phase. Statistical analysis showed that the observed differences match expectations drawn from knowledge of the operation, substantiating the premise that RMS vibration provides a good measure of the intensity of instrument interactions during live robotic surgery.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Health_technology_assessment Idioma: En Ano de publicação: 2013 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Health_technology_assessment Idioma: En Ano de publicação: 2013 Tipo de documento: Article