Literature DB >> 15760751

Soft tissue artefact assessment in humeral axial rotation.

Andrea Giovanni Cutti1, Gabriele Paolini, Marco Troncossi, Angelo Cappello, Angelo Davalli.   

Abstract

The accuracy of upper-limb kinematic data acquired from optoelectronic systems with retro-reflective markers is poor, mainly due to soft tissue artefact (STA). For the upper-arm, humeral internal/external rotation (HIER) is the movement most affected by STA, which is measured as a percentile fraction (K) of the effective humeral axial rotation performed. The aim of this work was to quantify STA during HIERs, with independently varying attitude of the humerus and elbow flexion, and to test the possibility of estimating its mean value over the tested upper-limb orientations using one simple trial. Six able-bodied subjects performed a series of HIERs in combination with elbow flexion for different humeral planes and degrees of elevation. During the trials the instantaneous attitudes of two humeral anatomical frames were compared, one being affected by the STA to be measured, and the other assumed as the gold standard. K was found to range from 20% to 48% of the effective humeral axial rotation performed, depending on the subject, humeral attitude and elbow flexion. These last two factors comparably affect STA and resulted in mean K coefficients of variation among the subjects of about 9% and 7%, respectively. Common patterns of K with elbow flexion and humerus elevation are discussed. The data also show that the mean of K of a subject is very close to the value assessed in a specific upper-limb configuration consistent among the subjects. This result from this study could be used to build up a time-saving STA compensation procedure suitable for clinical applications.

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Year:  2005        PMID: 15760751     DOI: 10.1016/j.gaitpost.2004.04.001

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  21 in total

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

Authors:  Andrea Giovanni Cutti; Andrea Giovanardi; Laura Rocchi; Angelo Davalli; Rinaldo Sacchetti
Journal:  Med Biol Eng Comput       Date:  2007-12-18       Impact factor: 2.602

3.  Inter-operator reliability and prediction bands of a novel protocol to measure the coordinated movements of shoulder-girdle and humerus in clinical settings.

Authors:  Pietro Garofalo; Andrea Giovanni Cutti; Maria Vittoria Filippi; Stefano Cavazza; Alberto Ferrari; Angelo Cappello; Angelo Davalli
Journal:  Med Biol Eng Comput       Date:  2009-02-17       Impact factor: 2.602

4.  IMU-based sensor-to-segment multiple calibration for upper limb joint angle measurement-a proof of concept.

Authors:  Mahdi Zabat; Amina Ababou; Noureddine Ababou; Raphaël Dumas
Journal:  Med Biol Eng Comput       Date:  2019-08-30       Impact factor: 2.602

5.  Statistical Quantification of the Effects of Marker Misplacement and Soft-Tissue Artifact on Shoulder Kinematics and Kinetics.

Authors:  Maxence Lavaill; Saulo Martelli; Graham K Kerr; Peter Pivonka
Journal:  Life (Basel)       Date:  2022-05-31

6.  Physical training in boys with Duchenne Muscular Dystrophy: the protocol of the No Use is Disuse study.

Authors:  Merel Jansen; Imelda Jm de Groot; Nens van Alfen; Alexander Ch Geurts
Journal:  BMC Pediatr       Date:  2010-08-06       Impact factor: 2.125

7.  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

8.  Compensating for Soft-Tissue Artifact Using the Orientation of Distal Limb Segments During Electromagnetic Motion Capture of the Upper Limb.

Authors:  Zachary Bons; Taylor Dickinson; Ryan Clark; Kari Beardsley; Steven K Charles
Journal:  J Biomech Eng       Date:  2022-07-01       Impact factor: 1.899

9.  Upper Limb Kinematics Using Inertial and Magnetic Sensors: Comparison of Sensor-to-Segment Calibrations.

Authors:  Brice Bouvier; Sonia Duprey; Laurent Claudon; Raphaël Dumas; Adriana Savescu
Journal:  Sensors (Basel)       Date:  2015-07-31       Impact factor: 3.576

10.  Soft tissue artifact evaluation of the cervical spine in motion patterns of flexion and lateral bending: a preliminary study.

Authors:  Jiajia Wang; Zhongwen Lui; Zhihui Qian; Luquan Ren
Journal:  PeerJ       Date:  2016-03-31       Impact factor: 2.984

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