TY - GEN
T1 - The instrumented instrument
T2 - Medicine Meets Virtual Reality 16 - Parallel, Combinatorial, Convergent: NextMed by Design, MMVR 2008
AU - Gillespie, Brent
AU - Xiao, Jun
AU - Perkins, Noel
AU - Armstrong, Tom
AU - Hamstra, Stan
AU - Kasten, Steven
AU - Minter, Rebecca
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
KW - Medical education
KW - Motion tracking
KW - Surgical skill training
UR - http://www.scopus.com/inward/record.url?scp=44249100697&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=44249100697&partnerID=8YFLogxK
M3 - Conference contribution
C2 - 18391275
AN - SCOPUS:44249100697
SN - 9781586038229
T3 - Studies in Health Technology and Informatics
SP - 141
EP - 146
BT - Medicine Meets Virtual Reality 16 - Parallel, Combinatorial, Convergent
PB - IOS Press
Y2 - 30 January 2008 through 1 February 2008
ER -