Directional bias of soft-tissue artifacts on the acromion during recording of 3D scapular kinematics

Konda, Shoji; Sahara, Wataru; Sugamoto, Kazuomi

doi:10.1016/j.jbiomech.2018.03.005

Cited by 9 publications

(15 citation statements)

References 19 publications

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“…The study of a single subject, whose image-based model and experimental marker trajectories were used, was believed to be sufficient and to provide results that can be generalised, as the perturbed errors were selected from population-based data, i.e., N = 5 for marker misplacements [15] and N = 19 for STA [34].…”

Section: Discussionmentioning

confidence: 99%

“…For five different motion phases, respectively, from 0 to 10, 10 to 33, 33 to 66, 66 to 90 and 90 to 100%, the STA of the thoracic, scapular and humeral markers, i.e., r STA , were randomly selected from their different NDs, as reported in Table 2. Note that we selected five phases based on the available data from Konda et al [34].…”

Section: Marker Offsetmentioning

confidence: 99%

“…Values are described in their segment local coordinate system. Scapular values are taken from Konda et al [34]. Note that soft-tissue artifacts for the six thoracic and humeral landmarks were arbitrarily assumed to follow the ND: 0 ± 4 mm.…”

Section: Marker Offsetmentioning

confidence: 99%

“…Note that soft-tissue artifacts for the six thoracic and humeral landmarks were arbitrarily assumed to follow the ND: 0 ± 4 mm. In detail, the AAc landmark was perturbed in each x-, y-and z-direction of the local scapular coordinate system, based on data from the literature [34] and as reported in Table 2. Unfortunately, no data were found regarding directional STA at the AAc landmark during an IER task.…”

Section: Marker Offsetmentioning

confidence: 99%

“…Regarding the thoracic, clavicular and humeral landmarks, no directional information was found in the literature. Thus, STA for the 6 thoracic and humeral landmarks was assumed to follow the ND: 0 ± 4 mm, based on Konda et al [34]. Continuity of every marker trajectory was assured between the five motion phases by locally weighted smoothing [36].…”

Section: Marker Offsetmentioning

confidence: 99%

See 4 more Smart Citations

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

Lavaill

Martelli

Kerr

et al. 2022

Life

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The assessment of shoulder kinematics and kinetics are commonly undertaken biomechanically and clinically by using rigid-body models and experimental skin-marker trajectories. However, the accuracy of these trajectories is plagued by inherent skin-based marker errors due to marker misplacements (offset) and soft-tissue artifacts (STA). This paper aimed to assess the individual contribution of each of these errors to kinematic and kinetic shoulder outcomes computed using a shoulder rigid-body model. Baseline experimental data of three shoulder planar motions in a young healthy adult were collected. The baseline marker trajectories were then perturbed by simulating typically observed population-based offset and/or STA using a probabilistic Monte-Carlo approach. The perturbed trajectories were then used together with a shoulder rigid-body model to compute shoulder angles and moments and study their accuracy and variability against baseline. Each type of error was studied individually, as well as in combination. On average, shoulder kinematics varied by 3%, 6% and 7% due to offset, STA or combined errors, respectively. Shoulder kinetics varied by 11%, 27% and 28% due to offset, STA or combined errors, respectively. In conclusion, to reduce shoulder kinematic and kinetic errors, one should prioritise reducing STA as they have the largest error contribution compared to marker misplacements.

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Section: Discussionmentioning

confidence: 99%

Section: Marker Offsetmentioning

confidence: 99%

Section: Marker Offsetmentioning

confidence: 99%

Section: Marker Offsetmentioning

confidence: 99%

Section: Marker Offsetmentioning

confidence: 99%

See 3 more Smart Citations

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

Lavaill

Martelli

Kerr

et al. 2022

Life

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Three‐dimensional shoulder kinematics: Upright four‐dimensional computed tomography in comparison with an optical three‐dimensional motion capture system

Yoshida

Matsumura

Miyamoto

et al. 2022

Journal Orthopaedic Research

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Although shoulder kinematics have been analyzed by various methods, dynamic shoulder motion is difficult to track. This study aimed to validate the shoulder kinematic analysis using upright four-dimensional computed tomography (4DCT) and to compare the results with optical three-dimensional motion capture. During active elevation, bilateral shoulders of 10 healthy volunteers were tracked using 4DCT and motion capture. The scapulothoracic and glenohumeral rotations and the scapulohumeral rhythm (SHR) at each position were calculated, and the differences between 4DCT and motion capture were compared. During 10−140°of humerothoracic elevation, the scapulothoracic joint showed upward rotation, internal rotation, and posterior tilting, and the glenohumeral joint showed elevation, external rotation, and anterior plane of elevation in both analyses. In scapulothoracic rotations, the mean differences between the two analyses were −2.6°in upward rotation, 13.9°in internal rotation, and 6.4°in posterior tilting, and became significant with humerothoracic elevation ≥110°in upward rotation, ≥50°in internal rotation, and ≥100°in posterior tilting. In glenohumeral rotations, the mean differences were 3.7°i n elevation, 9.1°in internal rotation, and −8.8°in anterior plane of elevation, and became significant with humerothoracic elevation ≥110°in elevation, ≥90°in internal rotation, and ≥100°in anterior plane of elevation. The mean overall SHRs were 1.8 in 4DCT and 2.4 in motion capture, and the differences became significant with humerothoracic elevation ≥100°. The 4DCT analysis of in vivo shoulder kinematics using upright computed tomography scanner is feasible, but the values were different from those by skin-based analysis at the elevated arm positions.

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Patient-specificity of scapular orientation measurements using an acromion marker cluster with multiple calibration poses

Zaferiou

Knowlton

Jang

et al. 2020

Journal of Biomechanics

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Directional bias of soft-tissue artifacts on the acromion during recording of 3D scapular kinematics

Cited by 9 publications

References 19 publications

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

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

Three‐dimensional shoulder kinematics: Upright four‐dimensional computed tomography in comparison with an optical three‐dimensional motion capture system

Patient-specificity of scapular orientation measurements using an acromion marker cluster with multiple calibration poses

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