Effective marker placement for functional identification of the centre of rotation at the hip

Kratzenstein, Stefan; Kornaropoulos, Evgenios; Ehrig, Rainald; Heller, Markus O.; Pöpplau, Berry M.; Taylor, William R.

doi:10.1016/j.gaitpost.2012.04.011

Cited by 33 publications

(33 citation statements)

References 30 publications

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“…In general, the inter-individual differences were larger than the differences within a single subject - a result that is in agreement with results from studies on the knee joint [36]. Knowledge of the influence of STA when using skin markers is required to ensure compensation for the largest error sources [16], [52], [53].…”

Section: Discussionsupporting

confidence: 83%

“…It is, of course, entirely possible that these or other subject-specific factors contribute to the magnitude of STA on the back. Here, it is quite conceivable for example that the individual elastic properties of the soft tissues have a strong influence on the magnitude of STA; such observations have been reported at other regions of the body (thigh) by Kratzenstein and co-workers [52], who also demonstrated locally varying STA, which was mainly attributed to muscle contraction and skin elasticity. In addition, no relationship between the levels of STA and BMI were observed in our study, but this could also be an artefact of the low number of subjects in our cohort.…”

Section: Discussionmentioning

confidence: 71%

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Soft Tissue Artefacts of the Human Back: Comparison of the Sagittal Curvature of the Spine Measured Using Skin Markers and an Open Upright MRI

et al. 2014

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Soft tissue artefact affects the determination of skeletal kinematics. Thus, it is important to know the accuracy and limitations of kinematic parameters determined and modelled based on skin marker data. Here, the curvature angles, as well as the rotations of the lumbar and thoracic segments, of seven healthy subjects were determined in the sagittal plane using a skin marker set and compared to measurements taken in an open upright MRI scanner in order to understand the influence of soft tissue artefact at the back. The mean STA in the flexed compared to the extended positions were 10.2±6.1 mm (lumbar)/9.3±4.2 mm (thoracic) and 10.7±4.8 mm (lumbar)/9.2±4.9 mm (thoracic) respectively. A linear regression of the lumbar and thoracic curvatures between the marker-based measurements and MRI-based measurements resulted in coefficients of determination, R2, of 0.552 and 0.385 respectively. Skin marker measurements therefore allow for the assessment of changes in the lumbar and thoracic curvature angles, but the absolute values suffer from uncertainty. Nevertheless, this marker set appears to be suitable for quantifying lumbar and thoracic spinal changes between quasi-static whole body postural changes.

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Section: Discussionsupporting

confidence: 83%

Section: Discussionmentioning

confidence: 71%

Soft Tissue Artefacts of the Human Back: Comparison of the Sagittal Curvature of the Spine Measured Using Skin Markers and an Open Upright MRI

et al. 2014

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“…The skin markers were either neglected completely (weight being 0, Figure 1(C)), or assigned weightings according to four different approaches: (I) only the bone markers ( Figure 2) were included and weighted manually with a factor of 1; (II) all markers were weighted manually with a factor of 1; (III) only the bone markers were included, and weighted automatically based on soft tissue artefacts (STA), and (IV) all markers were included, and weighted automatically based on STA. The STA automated weighting procedure was adapted from Heller et al (2011) and Kratzenstein et al (2012) using the relative variance of distance between each skin marker and the corresponding segment centre of mass. In order that each segment was considered with equal importance, the sum of all skin marker weighting factors was defined to be 10 on each segment, independent of the number of markers attached to that segment.…”

Section: Resultsmentioning

confidence: 99%

Robustness of kinematic weighting and scaling concepts for musculoskeletal simulation

Schellenberg

Taylor

Jonkers

et al. 2017

Computer Methods in Biomechanics and Biomedical Engineering

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Musculoskeletal modelling is widely used to estimate internal loading conditions. In order to optimise robustness and reduce errors between the subject-specific reference motion data (RMD) and the musculoskeletal simulation, 90 permutations of kinetic and kinematic data were analysed during split squats. A ranking for the scaling and kinematic weighting concepts based on the RMS errors when including functional centres of rotation (fCoRs), joint angles, and skin markers, revealed that analyses should include fCoR in the scaling and the simulation processes, as well as an automated weighting procedure including all attached skin markers for optimal registration of the musculoskeletal model to the RMD.

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“…Markers were also placed on the heel (posterior calcaneus), dorsal aspect of 5th metatarsal head and the dorsal aspect of 1st metatarsal head to define the foot. The participant performed a star movement to functionally determine hip joint centres, and knee flexion/extension to functionally determine knee axis 24,25 . For both the SKB and SKB Rot tests the aim was to perform prescribed movements, with the ability to do so graded against benchmark criteria.…”

Section: Motion Analysismentioning

confidence: 99%

Accuracy of movement quality screening to document effects of neuromuscular control retraining exercises in a young ex-footballer with hip and groin symptoms: A proof of concept case study

et al. 2018

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Hip and groin pain is common in footballers and altering movement patterns can reduce symptoms. Observational tests of movement control are thought to identify abnormal movement patterns, but their accuracy needs yet to be confirmed by comparison with an objective measure. To assess the accuracy, using 3D motion analysis, of observational movement control tests and their ability to detect changes, and document changes in symptoms following a neuromuscular control exercise programme in an ex-footballer with hip and groin pain. A 25-year-old male with chronic bilateral hip and groin pain had their movement control ability rated and kinematic data collected using 3D motion analysis while performing Small Knee Bend (SKB) and SKB with Rotation (SKB Rot) tests pre-and post-neuromuscular control exercise training. Movement control was rated as at fault if they were unable to control specific trunk and pelvic movements during the tests. The Copenhagen Hip and Groin Outcome Score (HAGOS) was used to assess symptoms. Following the intervention, observational rating during the SKB test improved from fault to no fault for anterior pelvic tilt, which decreased by 17° and 16° during right and left leg SKB tests respectively. The HAGOS symptoms subsection improved from 36% to 61%. Observational movement screening ratings were supported by 3-D motion analysis. These findings indicate that the screening tool was accurate for detecting improvements in trunk and pelvic movement control following an exercise programme in an ex-footballer who had presented with hip and groin pain.

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Effective marker placement for functional identification of the centre of rotation at the hip

Cited by 33 publications

References 30 publications

Soft Tissue Artefacts of the Human Back: Comparison of the Sagittal Curvature of the Spine Measured Using Skin Markers and an Open Upright MRI

Soft Tissue Artefacts of the Human Back: Comparison of the Sagittal Curvature of the Spine Measured Using Skin Markers and an Open Upright MRI

Robustness of kinematic weighting and scaling concepts for musculoskeletal simulation

Accuracy of movement quality screening to document effects of neuromuscular control retraining exercises in a young ex-footballer with hip and groin symptoms: A proof of concept case study

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