A FRAMEWORK FOR OBJECTIVE EVALUATION OF HANDHELD ROBOTIC SURGICAL TOOLS AGAINST PATIENT NEEDS

Nathan D. Davies, Yusra Farhat Ullah, Timothy M. Kowalewski

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Surgeons are human: their best possible performance is limited by their neurophysiology. What if an inoperable patient's condition demands surgical treatment that exceeds such human performance limits? Can precision surgical robots help surgeons surpass such fundamental human neurophysiological limits? This article employs the Steering law to proposes a quantitative framework and benchmark tasks to evaluate the feasibility of a handheld surgical tool for meeting the quantified speed and accuracy requirements of a clinical need in non-contact interactions that exceed human limitations. Example use cases of such interactions in common surgical scenarios are presented. Preliminary results from a straight-line tracking task with and without computer assistance demonstrate the proposed framework in the context of falling short of a clinical speed/accuracy need. The framework is then used to articulate specifications for additional technology candidates to successfully exceed the speed and accuracy characteristics of the modality used.

Original languageEnglish (US)
Title of host publicationProceedings of the 2022 Design of Medical Devices Conference, DMD 2022
PublisherAmerican Society of Mechanical Engineers
ISBN (Electronic)9780791885710
DOIs
StatePublished - 2022
Event2022 Design of Medical Devices Conference, DMD 2022 - Minneapolis, Virtual, United States
Duration: Apr 11 2022Apr 14 2022

Publication series

NameProceedings of the 2022 Design of Medical Devices Conference, DMD 2022

Conference

Conference2022 Design of Medical Devices Conference, DMD 2022
Country/TerritoryUnited States
CityMinneapolis, Virtual
Period4/11/224/14/22

Bibliographical note

Funding Information:
This material is based upon work supported by the National Science Foundation under Grant No. 1847610 and the Minnesota MnDRIVE Robotics, Sensors, and Advanced Manufacturing initiative.

Publisher Copyright:
© 2022 by ASME

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