Literature DB >> 23293709

Learning Kinematic Constraints in Laparoscopic Surgery.

Felix C Huang1, Ferdinando A Mussa-Ivaldi, Carla M Pugh, James L Patton.   

Abstract

To better understand how kinematic variables impact learning in surgical training, we devised an interactive environment for simulated laparoscopic maneuvers, using either 1) mechanical constraints typical of a surgical "box-trainer" or 2) virtual constraints in which free hand movements control virtual tool motion. During training, the virtual tool responded to the absolute position in space (Position-Based) or the orientation (Orientation-Based) of a hand-held sensor. Volunteers were further assigned to different sequences of target distances (Near-Far-Near or Far-Near-Far). Training with the Orientation-Based constraint enabled much lower path error and shorter movement times during training, which suggests that tool motion that simply mirrors joint motion is easier to learn. When evaluated in physically constrained (physical box-trainer) conditions, each group exhibited improved performance from training. However, Position-Based training enabled greater reductions in movement error relative to Orientation-Based (mean difference: 14.0 percent; CI: 0.7, 28.6). Furthermore, the Near-Far-Near schedule allowed a greater decrease in task time relative to the Far-Near-Far sequence (mean -13:5 percent, CI: -19:5, -7:5). Training that focused on shallow tool insertion (near targets) might promote more efficient movement strategies by emphasizing the curvature of tool motion. In addition, our findings suggest that an understanding of absolute tool position is critical to coping with mechanical interactions between the tool and trocar.

Entities:  

Year:  2011        PMID: 23293709      PMCID: PMC3535309          DOI: 10.1109/ToH.2011.52

Source DB:  PubMed          Journal:  IEEE Trans Haptics        ISSN: 1939-1412            Impact factor:   2.487


  28 in total

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Journal:  Psychol Res       Date:  2010-12-24

2.  Force feedback plays a significant role in minimally invasive surgery: results and analysis.

Authors:  Gregory Tholey; Jaydev P Desai; Andres E Castellanos
Journal:  Ann Surg       Date:  2005-01       Impact factor: 12.969

3.  What can the operator actually feel when performing a laparoscopy?

Authors:  G Picod; A C Jambon; D Vinatier; P Dubois
Journal:  Surg Endosc       Date:  2004-10-26       Impact factor: 4.584

4.  The importance of haptic feedback in laparoscopic suturing training and the additive value of virtual reality simulation.

Authors:  Sanne M B I Botden; Fawaz Torab; Sonja N Buzink; Jack J Jakimowicz
Journal:  Surg Endosc       Date:  2007-10-18       Impact factor: 4.584

Review 5.  Virtual reality in neurosurgical education: part-task ventriculostomy simulation with dynamic visual and haptic feedback.

Authors:  G Michael Lemole; P Pat Banerjee; Cristian Luciano; Sergey Neckrysh; Fady T Charbel
Journal:  Neurosurgery       Date:  2007-07       Impact factor: 4.654

6.  Effects of visual force feedback on robot-assisted surgical task performance.

Authors:  Carol E Reiley; Takintope Akinbiyi; Darius Burschka; David C Chang; Allison M Okamura; David D Yuh
Journal:  J Thorac Cardiovasc Surg       Date:  2008-01       Impact factor: 5.209

7.  Integrating surgical skills education into the anatomy laboratory.

Authors:  Harras Zaid; Derek Ward; Amanda Sammann; Frank Tendick; Kimberly S Topp; John Maa
Journal:  J Surg Res       Date:  2010-01       Impact factor: 2.192

8.  Is there a preferred coordinate system for perception of hand orientation in three-dimensional space?

Authors:  W G Darling; L Gilchrist
Journal:  Exp Brain Res       Date:  1991       Impact factor: 1.972

9.  Tactile feedback in laparoscopic colonic surgery.

Authors:  H J Scott; A Darzi
Journal:  Br J Surg       Date:  1997-07       Impact factor: 6.939

10.  Experimentally confirmed mathematical model for human control of a non-rigid object.

Authors:  Jonathan B Dingwell; Christopher D Mah; Ferdinando A Mussa-Ivaldi
Journal:  J Neurophysiol       Date:  2003-11-05       Impact factor: 2.714

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  2 in total

1.  Data sample size needed for prediction of movement distributions.

Authors:  Zachary A Wright; Moria E Fisher; Felix C Huang; James L Patton
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

2.  Effective part-task training as evidence of distinct adaptive processes with different time scales.

Authors:  Sandra Sülzenbrück; Herbert Heuer
Journal:  PLoS One       Date:  2013-03-27       Impact factor: 3.240

  2 in total

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