Literature DB >> 10332626

A marker-based measurement procedure for unconstrained wrist and elbow motions.

R Schmidt1, C Disselhorst-Klug, J Silny, G Rau.   

Abstract

A protocol is proposed to obtain the joint angles of wrist and elbow from tracked triads of surface markers on each limb segment. Cuffs placed on the limb support the rigidity of the triads. Additional markers are used to mark the approximate positions of joints. Corrections of surface marker data for skin motion are derived from a priori knowledge about plausible joint motions. In addition, ill-conditioned states are trapped when the elbow is nearly fully extended. The protocol is applied to sample motions which demonstrate the use and the effect of the corrections. The results show that the model assumptions are reasonable and that accurate joint rotations can be obtained. The correction steps prove to be an essential part of upper-extremity movement analysis.

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Mesh:

Year:  1999        PMID: 10332626     DOI: 10.1016/s0021-9290(99)00036-6

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


  21 in total

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2.  Experimental determination of the elbow's center of rotation using the VICON™ optoelectronic motion capture system.

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Journal:  Surg Radiol Anat       Date:  2015-11-20       Impact factor: 1.246

3.  Ambulatory measurement of shoulder and elbow kinematics through inertial and magnetic sensors.

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4.  Effects of different technical coordinate system definitions on the three dimensional representation of the glenohumeral joint centre.

Authors:  Amity Cree Campbell; J A Alderson; D G Lloyd; B C Elliott
Journal:  Med Biol Eng Comput       Date:  2009-03-13       Impact factor: 2.602

5.  Validity, Reliability, and Sensitivity of a 3D Vision Sensor-based Upper Extremity Reachable Workspace Evaluation in Neuromuscular Diseases.

Authors:  Jay J Han; Gregorij Kurillo; R Ted Abresch; Alina Nicorici; Ruzena Bajcsy
Journal:  PLoS Curr       Date:  2013-12-12

6.  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

7.  A digit alignment device for kinematic analysis of the thumb and index finger.

Authors:  Zhilei Liu Shen; Tracy A Mondello; Raviraj Nataraj; Mathieu F Domalain; Zong-Ming Li
Journal:  Gait Posture       Date:  2012-05-23       Impact factor: 2.840

8.  Muscle fatigue does not lead to increased instability of upper extremity repetitive movements.

Authors:  Deanna H Gates; Jonathan B Dingwell
Journal:  J Biomech       Date:  2009-11-26       Impact factor: 2.712

9.  Determination of rigid body registration marker error from edge error.

Authors:  Clark R Andersen
Journal:  J Biomech       Date:  2009-03-09       Impact factor: 2.712

10.  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

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