Zhanhe Liu1, Joseph Bible2, Jared Wells1, Deepak Vadivalagan3, Ravikiran Singapogu1. 1. Department of Bioengineering, Clemson University, Clemson, SC 29634, USA. 2. Department of Mathematical and Statistical Sciences, Clemson University, SC 29634, USA. 3. Department of Electrical and Computer Engineering, Clemson University, Clemson, SC 29634, USA.
Abstract
GOAL: Simulators that incorporate haptic feedback for clinical skills training are increasingly used in medical education. This study addresses the neglected aspect of rendering simulated feedback for vascular palpation skills training by systematically examining the effect of haptic factors on performance. METHODS: A simulator-based approach to examine palpation skill is presented. Novice participants with and without minimal previous palpation training performed a palpation task on a simulator that rendered controlled vibratory feedback under various conditions. RESULTS: Five objective metrics were employed to analyze participants' performance that yielded key findings in quantifying palpation performance. Participants' palpation accuracy was influenced by all three haptic factors, ranging from moderate to statistically significant. Duration, Total Path Length and Ration of Correct Movement also demonstrated utility for quantifying performance. CONCLUSIONS: We demonstrate that our affordable simulator is capable of rendering controlled haptic feedback suitable for skills training. Further, metrics presented in this study can be used for structured palpation skills assessment and training, potentially improving healthcare delivery.
GOAL: Simulators that incorporate haptic feedback for clinical skills training are increasingly used in medical education. This study addresses the neglected aspect of rendering simulated feedback for vascular palpation skills training by systematically examining the effect of haptic factors on performance. METHODS: A simulator-based approach to examine palpation skill is presented. Novice participants with and without minimal previous palpation training performed a palpation task on a simulator that rendered controlled vibratory feedback under various conditions. RESULTS: Five objective metrics were employed to analyze participants' performance that yielded key findings in quantifying palpation performance. Participants' palpation accuracy was influenced by all three haptic factors, ranging from moderate to statistically significant. Duration, Total Path Length and Ration of Correct Movement also demonstrated utility for quantifying performance. CONCLUSIONS: We demonstrate that our affordable simulator is capable of rendering controlled haptic feedback suitable for skills training. Further, metrics presented in this study can be used for structured palpation skills assessment and training, potentially improving healthcare delivery.
Entities:
Keywords:
Haptic rendering; Medical simulator; Performance assessment; Skill training
Authors: Mark Wilson; John McGrath; Samuel Vine; James Brewer; David Defriend; Richard Masters Journal: Surg Endosc Date: 2010-03-24 Impact factor: 4.584
Authors: Ahmad Abiri; Yen-Yi Juo; Anna Tao; Syed J Askari; Jake Pensa; James W Bisley; Erik P Dutson; Warren S Grundfest Journal: Surg Endosc Date: 2018-09-05 Impact factor: 4.584