The instrumented instrument: Characterization and training of manual skill in open suturing

Brent Gillespie, Jun Xiao, Noel Perkins, Tom Armstrong, Stan Hamstra, Steven Kasten, Rebecca Minter

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

2 Scopus citations

Abstract

Instruction in the use of forceps and needle driver to suture tissues typically involves group didactic and demonstration sessions, followed by limited individual observation and coaching. Most motor learning required for dexterous suturing takes place during unsupervised practice with practice boards or during actual procedures in the operating room. We are developing surgical instruments with embedded microelectromechanical sensors for tracking instrument motion. Motion data is acquired and processed on a computer for concurrent or summary performance feedback during practice. An integral feature in our approach is the use of digital video recordings, synchronized with the sensor signals, to parse surgical procedures into a series of actions based on a task analysis. We envision the parsed video and signals as tools for assessment and performance feedback that an instructor could use to offer more extended individualized coaching. In a small pilot study, we concentrated our data analysis on the orientation of a needle driver about its long axis, the range of motion in one throw, and the timing of subtasks.

Original languageEnglish (US)
Title of host publicationMedicine Meets Virtual Reality 16 - Parallel, Combinatorial, Convergent
Subtitle of host publicationNextMed by Design, MMVR 2008
PublisherIOS Press
Pages141-146
Number of pages6
ISBN (Print)9781586038229
StatePublished - Jan 1 2008
EventMedicine Meets Virtual Reality 16 - Parallel, Combinatorial, Convergent: NextMed by Design, MMVR 2008 - Long Beach, CA, United States
Duration: Jan 30 2008Feb 1 2008

Publication series

NameStudies in Health Technology and Informatics
Volume132
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

OtherMedicine Meets Virtual Reality 16 - Parallel, Combinatorial, Convergent: NextMed by Design, MMVR 2008
CountryUnited States
CityLong Beach, CA
Period1/30/082/1/08

Keywords

  • Medical education
  • Motion tracking
  • Surgical skill training

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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