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Journal of Thoracic and Cardiovascular Surgery
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Effect of sensory substitution on suture-manipulation forces for robotic surgical systems

Authors: Kitagawa, Masaya; Dokko, Daniell; Okamura, Allison M.; Yuh, David D.;

Effect of sensory substitution on suture-manipulation forces for robotic surgical systems

Abstract

Objectives Direct haptic (force or tactile) feedback is not yet available in commercial robotic surgical systems. Previous work by our group and others suggests that haptic feedback might significantly enhance the execution of surgical tasks requiring fine suture manipulation, specifically those encountered in cardiothoracic surgery. We studied the effects of substituting direct haptic feedback with visual and auditory cues to provide the operating surgeon with a representation of the forces he or she is applying with robotic telemanipulators. Methods Using the robotic da Vinci surgical system (Intuitive Surgical, Inc, Sunnyvale, Calif), we compared applied forces during a standardized surgical knot-tying task under 4 different sensory-substitution scenarios: no feedback, auditory feedback, visual feedback, and combined auditory-visual feedback. Results The forces applied with these sensory-substitution modes more closely approximate suture tensions achieved under ideal haptic conditions (ie, hand ties) than forces applied without such sensory feedback. The consistency of applied forces during robot-assisted suture tying aided by visual feedback or combined auditory-visual feedback sensory substitution is superior to that achieved with hand ties. Robot-assisted ties aided with auditory feedback revealed levels of consistency that were generally equivalent or superior to those attained with hand ties. Visual feedback and auditory feedback improve the consistency of robotically applied forces. Conclusions Sensory substitution, in the form of visual feedback, auditory feedback, or both, confers quantifiable advantages in applied force accuracy and consistency during the performance of a simple surgical task.

Related Organizations
Subjects by Vocabulary

Microsoft Academic Graph classification: medicine.medical_specialty Sensory system Da Vinci Surgical System Task (project management) Human–computer interaction medicine Haptic technology Auditory feedback business.industry Work (physics) Robotics Surgery Sensory substitution Artificial intelligence business

Keywords

Pulmonary and Respiratory Medicine, Sensitivity and Specificity, Feedback, Risk Factors, Tensile Strength, Confidence Intervals, Humans, Cardiac Surgical Procedures, Man-Machine Systems, Probability, Anastomosis, Surgical, Suture Techniques, Robotics, Surgery, Computer-Assisted, Touch, Surgery, Cardiology and Cardiovascular Medicine

23 references, page 1 of 3

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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
237
Top 1%
Top 1%
Top 10%
hybrid