Literature DB >> 24503512

Validity of a simple videogrammetric method to measure the movement of all hand segments for clinical purposes.

Joaquín L Sancho-Bru1, Néstor J Jarque-Bou, Margarita Vergara, Antonio Pérez-González.   

Abstract

Hand movement measurement is important in clinical, ergonomics and biomechanical fields. Videogrammetric techniques allow the measurement of hand movement without interfering with the natural hand behaviour. However, an accurate measurement of the hand movement requires the use of a high number of markers, which limits its applicability for the clinical practice (60 markers would be needed for hand and wrist). In this work, a simple method that uses a reduced number of markers (29), based on a simplified kinematic model of the hand, is proposed and evaluated. A set of experiments have been performed to evaluate the errors associated with the kinematic simplification, together with the evaluation of its accuracy, repeatability and reproducibility. The global error attributed to the kinematic simplification was 6.68°. The method has small errors in repeatability and reproducibility (3.43° and 4.23°, respectively) and shows no statistically significant difference with the use of electronic goniometers. The relevance of the work lies in the ability of measuring all degrees of freedom of the hand with a reduced number of markers without interfering with the natural hand behaviour, which makes it suitable for its use in clinical applications, as well as for ergonomic and biomechanical purposes.

Keywords:  Three-dimensional movement; accuracy; hand joint angles; hand posture; reflective markers; repeatability; reproducibility

Mesh:

Year:  2014        PMID: 24503512     DOI: 10.1177/0954411914522023

Source DB:  PubMed          Journal:  Proc Inst Mech Eng H        ISSN: 0954-4119            Impact factor:   1.617


  7 in total

1.  Evaluation of hand motion capture protocol using static computed tomography images: application to an instrumented glove.

Authors:  James H Buffi; Joaquín Luis Sancho Bru; Joseph J Crisco; Wendy M Murray
Journal:  J Biomech Eng       Date:  2014-12       Impact factor: 2.097

2.  Across-subject calibration of an instrumented glove to measure hand movement for clinical purposes.

Authors:  Verónica Gracia-Ibáñez; Margarita Vergara; James H Buffi; Wendy M Murray; Joaquín L Sancho-Bru
Journal:  Comput Methods Biomech Biomed Engin       Date:  2016-12-27       Impact factor: 1.763

3.  Differences in EMG Burst Patterns During Grasping Dexterity Tests and Activities of Daily Living.

Authors:  Jen Rowson; Alaster Yoxall; Victor Gonzalez
Journal:  Front Bioeng Biotechnol       Date:  2018-05-25

4.  Quantifying Soft Tissue Artefacts and Imaging Variability in Motion Capture of the Fingers.

Authors:  C D Metcalf; C Phillips; A Forrester; J Glodowski; K Simpson; C Everitt; A Darekar; L King; D Warwick; A S Dickinson
Journal:  Ann Biomed Eng       Date:  2020-02-19       Impact factor: 3.934

5.  Minimal detectable difference of the finger and wrist range of motion: comparison of goniometry and 3D motion analysis.

Authors:  Lisa Reissner; Gabriella Fischer; Renate List; William R Taylor; Pietro Giovanoli; Maurizio Calcagni
Journal:  J Orthop Surg Res       Date:  2019-06-10       Impact factor: 2.359

6.  Synergy-Based Sensor Reduction for Recording the Whole Hand Kinematics.

Authors:  Néstor J Jarque-Bou; Joaquín L Sancho-Bru; Margarita Vergara
Journal:  Sensors (Basel)       Date:  2021-02-04       Impact factor: 3.576

7.  Evaluation of Optical and Radar Based Motion Capturing Technologies for Characterizing Hand Movement in Rheumatoid Arthritis-A Pilot Study.

Authors:  Uday Phutane; Anna-Maria Liphardt; Johanna Bräunig; Johann Penner; Michael Klebl; Koray Tascilar; Martin Vossiek; Arnd Kleyer; Georg Schett; Sigrid Leyendecker
Journal:  Sensors (Basel)       Date:  2021-02-09       Impact factor: 3.576

  7 in total

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