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Erschienen in:
A Road Map for Computational Surgery: Challenges and Opportunities Kapitel lesen Erstes Kapitel lesen

2014 | OriginalPaper | Buchkapitel

24. Robotics as a Tool for Training and Assessment of Surgical Skill

verfasst von : Marcia K. O’Malley, Ozkan Celik, Joel C. Huegel, Michael D. Byrne, Jean Bismuth, Brian J. Dunkin, Alvin C. Goh, Brian J. Miles

Erschienen in: Computational Surgery and Dual Training

Verlag: Springer New York

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Abstract

Technological advances have enabled new paradigms for skill training using virtual reality and robotics. We present three recent research advances in the field of virtual reality and human–robot interaction (HRI) for training. First, skill assessment in these systems is discussed, with an emphasis on the derivation of meaningful and objective quantitative performance metrics from motion data acquired through sensors on the robotic devices. We show how such quantitative measures derived for the robotic stroke rehabilitation domain correlate strongly with clinical measures of motor impairment. For virtual reality-based task training, we present task analysis and motion-based performance metrics for a manual control task. Lastly, we describe specific challenges in the surgical domain, with a focus on the development of tasks for skills assessment in surgical robotics.

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Vorheriges Kapitel Calculation of the Discrete Effective Stiffness of Cancellous Bone by Direct Mechanical Simulations
Nächstes Kapitel Workload and Performance Analyses with Haptic and Visually Guided Training in a Dynamic Motor Skill Task
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Metadaten
Titel
Robotics as a Tool for Training and Assessment of Surgical Skill
verfasst von
Marcia K. O’Malley
Ozkan Celik
Joel C. Huegel
Michael D. Byrne
Jean Bismuth
Brian J. Dunkin
Alvin C. Goh
Brian J. Miles
Copyright-Jahr
2014
Verlag
Springer New York
Buch
Computational Surgery and Dual Training

Print ISBN: 978-1-4614-8647-3

Electronic ISBN: 978-1-4614-8648-0

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-1-4614-8648-0_24

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