Literature DB >> 24615208

Development of an anatomical wrist joint coordinate system to quantify motion during functional tasks.

Howard J Hillstrom1, Rohit Garg, Andrew Kraszewski, Mark Lenhoff, Timothy Carter, Sherry I Backus, Aviva Wolff, Grigory Syrkin, Richard Cheng, Scott W Wolfe.   

Abstract

The purpose of this study was to develop a three-dimensional (3D) motion analysis based anatomical wrist joint coordinate system for measurement of in-vivo wrist kinematics. The convergent validity and reliability of the 3D motion analysis implementation was quantified and compared with manual and electrogoniometry techniques on 10 cadaveric specimens. Fluoroscopic measurements were used as the reference. The 3D motion analysis measurements (mean absolute difference [MAD] = 3.6°) were significantly less different (P < .005) than manual goniometry (MAD = 5.7°) but not (P = .066, power = 0.45) electrogoniometry (MAD = 5.0°) compared with fluoroscopy. The intraclass correlation coefficient (ICC[2,1]) was highest for 3D motion analysis compared with manual and electrogoniometry, suggesting better reliability for this technique. To demonstrate the utility of this new wrist joint coordinate system, normative data from 10 healthy subjects was obtained while throwing a dart.

Mesh:

Year:  2014        PMID: 24615208     DOI: 10.1123/jab.2011-0094

Source DB:  PubMed          Journal:  J Appl Biomech        ISSN: 1065-8483            Impact factor:   1.833


  5 in total

1.  At Home Photography-Based Method for Measuring Wrist Range of Motion.

Authors:  Samir K Trehan; Schneider K Rancy; Parker H Johnsen; Howard J Hillstrom; Steve K Lee; Scott W Wolfe
Journal:  J Wrist Surg       Date:  2017-03-14

2.  Principal components of wrist circumduction from electromagnetic surgical tracking.

Authors:  Brian J Rasquinha; Michael J Rainbow; Michelle L Zec; David R Pichora; Randy E Ellis
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-07-22       Impact factor: 2.924

3.  Decoupling the Wrist: A Cadaveric Experiment Examining Wrist Kinematics Following Midcarpal Fusion and Scaphoid Excision.

Authors:  Jennifer A Nichols; Michael S Bednar; Robert M Havey; Wendy M Murray
Journal:  J Appl Biomech       Date:  2016-10-05       Impact factor: 1.833

4.  Accuracy of an electrogoniometer relative to optical motion tracking for quantifying wrist range of motion.

Authors:  Brian P McHugh; Amy M Morton; Bardiya Akhbari; Janine Molino; Joseph J Crisco
Journal:  J Med Eng Technol       Date:  2020-01-30

5.  Optical motion capture accuracy is task-dependent in assessing wrist motion.

Authors:  Brian McHugh; Bardiya Akhbari; Amy M Morton; Douglas C Moore; Joseph J Crisco
Journal:  J Biomech       Date:  2021-03-06       Impact factor: 2.712

  5 in total

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