Literature DB >> 35392491

Characterizing the biomechanical differences between novice and expert point-of-care ultrasound practitioners using a low-cost gyroscope and accelerometer integrated sensor: A pilot study.

Ross Prager1, Paul Pageau2, Timothy Hodges3, Christina Yan4, Michael Woo2, Marie-Joe Nemnom5, Scott Millington6, Matthew Holden7, Raphael St-Gelais3, Warren J Cheung2.   

Abstract

Introduction: Point-of-care ultrasound (POCUS) has become an important diagnostic tool in acute care medicine; however, little is known about the biomechanical differences between novice and expert practitioners.
Methods: A low-cost ($50 CAD) gyroscope and accelerometer integrated sensor was assembled and affixed to an ultrasound probe. Seventeen participants, nine novices and eight experts, were recruited to perform three abdominal and four cardiac scans on a standardized patient. Participant demographics, time per scan, average acceleration, average angular velocity, decay in acceleration and angular velocity over time, and frequency of probe movements were analyzed. Video capture with blinded video review was scored.
Results: On video review, experts had higher image optimization and acquisition scores for both abdominal and cardiac scans. Experts had shorter scan times for abdominal (7 s vs. 26 s, p = 0.003) and cardiac (11 s vs. 26 s, p < 0.001) scans. There was no difference in average acceleration (g) between novices and experts performing abdominal (1.02 vs. 1.01, p = 0.50) and cardiac (1.01 vs. 1.01, p = 0.45) scans. Experts had lower angular velocity (°/s) for abdominal scans (10.00 vs. 18.73, p < 0.001) and cardiac scans (15.61 vs. 20.33, p = 0.02) There was a greater decay in acceleration over time for experts performing cardiac scans compared to novices (-0.194 vs. -0.050, p = 0.03) but not for abdominal scans or when measuring angular velocity. The frequency of movements (Hz) was higher for novices compared to experts for abdominal (16.68 vs. 13.79, p < 0.001) and cardiac (17.60 vs. 13.63, p = 0.002) scans. Discussion: This study supports the feasibility of a low-cost gyroscope and accelerometer integrated sensor to quantify the biomechanics of POCUS. It may also support the concept of "window shopping" as a method by which experts obtain abdominal and cardiac views, where sliding is used to find an acoustic window, then smaller rocking and tilting probe movements are used to refine the image.
© 2022 by the Society for Academic Emergency Medicine.

Entities:  

Year:  2022        PMID: 35392491      PMCID: PMC8963729          DOI: 10.1002/aet2.10733

Source DB:  PubMed          Journal:  AEM Educ Train        ISSN: 2472-5390


  24 in total

1.  The development and validation of hand motion analysis to evaluate competency in central line catheterization.

Authors:  David Clinkard; Matthew Holden; Tamas Ungi; David Messenger; Colleen Davison; Gabor Fichtinger; Robert McGraw
Journal:  Acad Emerg Med       Date:  2015-02-09       Impact factor: 3.451

2.  Barriers to reporting guideline adherence in point-of-care ultrasound research: a cross-sectional survey of authors and journal editors.

Authors:  Ross Prager; Luke Gagnon; Joshua Bowdridge; Rudy R Unni; Trevor A McGrath; Kelly Cobey; Patrick M Bossuyt; Matthew D F McInnes
Journal:  BMJ Evid Based Med       Date:  2021-01-22

3.  Outcomes from extensive training in critical care echocardiography: Identifying the optimal number of practice studies required to achieve competency.

Authors:  Scott J Millington; Michael Hewak; Robert T Arntfield; Yanick Beaulieu; Benjamin Hibbert; Seth Koenig; Pierre Kory; Paul Mayo; Jordan R Schoenherr
Journal:  J Crit Care       Date:  2017-03-27       Impact factor: 3.425

4.  Objective and Structured Assessment of Lung Ultrasound Competence. A Multispecialty Delphi Consensus and Construct Validity Study.

Authors:  Søren Helbo Skaarup; Christian B Laursen; Anne Sofie Bjerrum; Ole Hilberg
Journal:  Ann Am Thorac Soc       Date:  2017-04

5.  Validation of hand motion analysis as an objective assessment tool for the Focused Assessment with Sonography for Trauma examination.

Authors:  Markus T Ziesmann; Jason Park; Bertram Unger; Andrew W Kirkpatrick; Ashley Vergis; Chau Pham; David Kirschner; Sarvesh Logestty; Lawrence M Gillman
Journal:  J Trauma Acute Care Surg       Date:  2015-10       Impact factor: 3.313

6.  Test Characteristics of Point-of-care Ultrasound for the Diagnosis of Retinal Detachment in the Emergency Department.

Authors:  Daniel J Kim; Mario Francispragasam; Gavin Docherty; Byron Silver; Ross Prager; Donna Lee; David Maberley
Journal:  Acad Emerg Med       Date:  2018-12-17       Impact factor: 3.451

7.  The Assessment of Competency in Thoracic Sonography (ACTS) scale: validation of a tool for point-of-care ultrasound.

Authors:  Scott J Millington; Robert T Arntfield; Robert Jie Guo; Seth Koenig; Pierre Kory; Vicki Noble; Haney Mallemat; Jordan R Schoenherr
Journal:  Crit Ultrasound J       Date:  2017-11-22

8.  Development of a convolutional neural network to differentiate among the etiology of similar appearing pathological B lines on lung ultrasound: a deep learning study.

Authors:  Robert Arntfield; Blake VanBerlo; Thamer Alaifan; Nathan Phelps; Matthew White; Rushil Chaudhary; Jordan Ho; Derek Wu
Journal:  BMJ Open       Date:  2021-03-05       Impact factor: 2.692

9.  Blinding practices during acute point-of-care ultrasound research: the BLIND-US meta-research study.

Authors:  Ross Prager; Kay Wu; Roudi Bachar; Rudy R Unni; Joshua Bowdridge; Trevor A McGrath; Rajiv Thavanathan; Michael Y Woo; Matthew D F McInnes
Journal:  BMJ Evid Based Med       Date:  2020-11-11
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