Literature DB >> 8514818

A procedure to validate three-dimensional motion assessment systems.

K J DeLuzio1, U P Wyss, J Li, P A Costigan.   

Abstract

The automation provided by computer-assisted motion-tracking systems allows for three-dimensional motion and force analysis. These systems combined with mathematical modelling are able to analyse quickly the intricate dynamics of human movement. Understanding the limitations of human motion analysis as performed by the present measurement techniques is essential for proper application of the results. It is necessary to validate the analysis system prior to subject testing. This paper provides a validation of an optoelectric motion-tracking system used in a dynamic knee assessment study. While the validation is shown with one particular system only, it is suggested that all systems used in two- or three-dimensional motion analysis should be tested similarly in the actual configuration used. Three simple mechanical representations of the human knee have been used in this validation. The first model provided an understanding of the source and behaviour of the error introduced to the accuracy of defining a vector between the recorded coordinates of two markers. The other two models investigated the effect of processing methods specific to the knee analysis project. Separating the markers by at least 180 mm is recommended to produce stable vectors. Relative joint angles could be calculated in all three planes of rotation. The error in calculating flexion and longitudinal rotation was less than 2.0 degrees, while calculating adduction introduced errors of 4.0 degrees. Force calculations were found to be within 8%. The system behaviour was found to be consistent within the calibrated volume about the force platform. Simple mechanical models combined with straightforward procedures can provide validation in terms of clinically relevant parameters.

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Year:  1993        PMID: 8514818     DOI: 10.1016/0021-9290(93)90037-f

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  10 in total

1.  Are patient-specific joint and inertial parameters necessary for accurate inverse dynamics analyses of gait?

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2.  Effect of a high intensity quadriceps fatigue protocol on knee joint mechanics and muscle activation during gait in young adults.

Authors:  Gillian Hatfield Murdock; Cheryl L Hubley-Kozey
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3.  Quantifying prosthetic gait deviation using simple outcome measures.

Authors:  Lauren Kark; Ross Odell; Andrew S McIntosh; Anne Simmons
Journal:  World J Orthop       Date:  2016-06-18

4.  Pelvis and lower limb anatomical landmark calibration precision and its propagation to bone geometry and joint angles.

Authors:  U della Croce; A Cappozzo; D C Kerrigan
Journal:  Med Biol Eng Comput       Date:  1999-03       Impact factor: 2.602

5.  Individual Gait Features Are Associated with Clinical Improvement After Total Knee Arthroplasty.

Authors:  Kathryn L Young-Shand; Michael J Dunbar; Janie L Astephen Wilson
Journal:  JB JS Open Access       Date:  2020-04-06

6.  A spot check for estimating stereophotogrammetric errors.

Authors:  U Della Croce; A Cappozzo
Journal:  Med Biol Eng Comput       Date:  2000-05       Impact factor: 3.079

7.  Three-dimensional biomechanical gait characteristics at baseline are associated with progression to total knee arthroplasty.

Authors:  Gillian L Hatfield; William D Stanish; Cheryl L Hubley-Kozey
Journal:  Arthritis Care Res (Hoboken)       Date:  2015-07       Impact factor: 4.794

8.  A Quality Control Check to Ensure Comparability of Stereophotogrammetric Data between Sessions and Systems.

Authors:  Kirsty Scott; Tecla Bonci; Lisa Alcock; Ellen Buckley; Clint Hansen; Eran Gazit; Lars Schwickert; Andrea Cereatti; Claudia Mazzà
Journal:  Sensors (Basel)       Date:  2021-12-09       Impact factor: 3.576

9.  The free moment in walking and its change with foot rotation angle.

Authors:  Sivan Almosnino; Tara Kajaks; Patrick A Costigan
Journal:  Sports Med Arthrosc Rehabil Ther Technol       Date:  2009-08-13

10.  A computational method for recording and analysis of mandibular movements.

Authors:  Alan Petrônio Pinheiro; Adriano O Andrade; Adriano A Pereira; Douglas Bellomo
Journal:  J Appl Oral Sci       Date:  2008 Sep-Oct       Impact factor: 2.698

  10 in total

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