Electromyographic correlates of learning during robotic surgical training in virtual reality

Irene H. Suh, Mukul Mukherjee, Ryan Schrack, Shi Hyun Park, Jung Hung Chien, Dmitry Oleynikov, Joseph Ka-Chun Siu

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

6 Scopus citations

Abstract

The purpose of this study was to investigate the muscle activation and the muscle frequency response of the dominant arm muscles (flexor carpi radialis and extensor digitorum) and hand muscles (abductor pollicis and first dorsal interosseous) during robotic surgical skills training in a virtual environment. The virtual surgical training tasks consisted of bimanual carrying, needle passing and mesh alignment. The experimental group (n=5) was trained by performing four blocks of the virtual surgical tasks using the da Vinci™ surgical robot. During the pre- and post-training tests, all subjects were tested by performing a suturing task on a "life-like" suture pad. The control group (n=5) performed only the suturing task without any virtual task training. Differences between pre- and post-training tests were significantly greater in the virtual reality group, as compared to the control group in the muscle activation of the hand muscle (abductor pollicis) for both the suture tying and the suture running (p < 0.05). In conclusion, changes in electrographic activity shows that training in virtual reality leads to specific changes in neuromotor control of robotic surgical tasks.

Original languageEnglish (US)
Title of host publicationMedicine Meets Virtual Reality 18
Subtitle of host publicationNextMed, MMVR18
PublisherIOS Press
Pages630-634
Number of pages5
ISBN (Print)9781607507055
DOIs
StatePublished - 2011

Publication series

NameStudies in Health Technology and Informatics
Volume163
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Keywords

  • Electromyography
  • Simulation
  • Training
  • da Vinci™ Surgical System

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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