Effects of movement for estimating the hip joint centre

Begon, Mickaël; Monnet, Tony; Lacouture, Patrick

doi:10.1016/j.gaitpost.2006.04.010

Cited by 103 publications

(78 citation statements)

References 15 publications

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“…In line with the works of Lu and O'Connor (1999) and Roux et al (2002), global optimisation appears to be more accurate than the direct approach. While these studies were based on computer simulated trials, the noise added to the marker kinematics was systematic (Chèze et al, 1995), this being more appropriate to model skin movement artefacts than random noise as confirmed by Begon et al (2007). Furthermore in the present study, the direct method could be applied for only a few frames due to the marker occlusions throughout the movement (Table 1).…”

Section: Discussionmentioning

confidence: 90%

“…Predictive and functional approaches were used involving static and dynamic data acquisition. The glenohumeral and hip CoR (modelled as ball and socket) were located with the symmetrical CoR estimation method (Ehrig et al, 2006) in line with the recommendation of Begon et al (2007) and Monnet et al (in press) from markers T 14−19 and T 3−10 respectively. The pelvis local frame was calculated from four markers (T 7−10 ) Figure 1: Model definition with the degrees of freedom and the parameters for the straddled circling movements on high bar.…”

Section: Methodsmentioning

confidence: 99%

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Kinematics estimation of straddled movements on high bar from a limited number of skin markers using a chain model

Begon

Wieber

Yeadon

2008

Journal of Biomechanics

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International audienceTo reduce the eﬀects of skin movement artefacts and apparent joint dislocations in the kinematics of whole body movement derived from marker locations, global optimisation procedures with a chain model have been developed. These procedures can also be used to reduce the number of markers when self-occlusions are hard to avoid. This paper assesses the kinematics precision of three marker sets: 16, 11 and 7 markers, for movements on high bar with straddled piked posture. A three-dimensional person-speciﬁc chain model was deﬁned with 9 parameters and 12 degrees of freedom and an iterative procedure optimised the gymnast posture for each frame of the three marker sets. The time histories of joint angles obtained from the reduced marker sets were compared with those from the 16 marker set by means of a root mean square diﬀerence measure. Occlusions of medial markers ﬁxed on the lower limb occurred when the legs were together and the pelvis markers disappeared primarily during the piked posture. Despite these occlusions, reconstruction was possible with 16, 11 and 7 markers. The time histories of joint angles were similar; the main diﬀerences were for the thigh mediolateral rotation and the knee ﬂexion because the knee was close to full extension. When ﬁve markers were removed, the average angles diﬀerence was about 3. This diﬀerence increased to 9 for the seven marker set. It is concluded that kinematics of sports movement can be reconstructed using a chain model and a global optimisation procedure for a reduced number of markers

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Section: Discussionmentioning

confidence: 90%

Section: Methodsmentioning

confidence: 99%

Kinematics estimation of straddled movements on high bar from a limited number of skin markers using a chain model

Begon

Wieber

Yeadon

2008

Journal of Biomechanics

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“…The humerus was defined anatomically using the glenohumeral joint centre and markers on the medial and lateral epicondyles. The glenohumeral joint centre was calculated in Visual 3D v.3.90.21 (C-Motion, Germantown, MD, USA) using the method described by Schwartz and Rozumalski 12 and the protocol of Begon et al 13 The forearm was defined anatomically using the distal humerus and the radial and ulna styloid processes. The dynamic movement of the humerus and forearm was tracked using two technical clusters of four markers each.…”

Section: Upper Extremity Modelmentioning

confidence: 99%

Analysis of tetraplegic reaching in their 3D workspace following posterior deltoid-triceps tendon transfer

et al. 2010

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Study design: Cross-sectional study. Objectives: To quantify three-dimensional (3D) reachable workspace in different groups of tetraplegic participants and to assess their reaching performance within this workspace. Setting: Northwest Regional Spinal Injuries Centre, UK. Methods: The 3D reachable workspace of three groups of tetraplegics (NON-OP, operated group (OP) and tetraplegic control group (CON Tetraplegic ) with varying levels of triceps function together with a healthy control group (CON Healthy )) was defined by reaching to five target positions (anterior, medial, lateral, superior and inferior) located on the periphery of their workspace. Joint angles and inter-joint coordination were analysed after a 3D reconstruction of the thorax, humerus and forearm. The performance related variables of movement time, peak velocity, time-to-peak velocity and curvature index were also examined. Results: The reachable volumes covered were consistent with the level of triceps function as CON Healthy covered a significantly greater volume than the tetraplegic groups and in turn the OP covered a larger workspace volume than NON-OP. The reduced workspace of tetraplegics was identified as being due to restrictions in workspace above shoulder height and across the body. Coordination data identified some differences in movement patterns but when reaching to targets on the workspace there were no significant differences between the OP and NON-OP groups. Conclusion: This study provided a detailed assessment of reachable workspace and target reaching. Tetraplegic participants found the superior and medial parts of the workspace were the most challenging directions. Standardised biomechanical analysis of tetraplegic upper-limb function is required for objective assessment.

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“…The effect of number and placement of markers on the precision of the HJC estimation has been previously evaluated, although not with respect to the GSF method [17]. The impact of the chosen functional method, movement pattern and number of markers on the accuracy of the HJC estimation has also been assessed [14,16,18,19]. To our knowledge no previous study has assessed the influence of the number of markers used on the reliability of HJC calculations.…”

Section: Hjc Location Introductionmentioning

confidence: 99%

“…Using predictive methods, the HJC estimation depends on the placement of the pelvis markers and how well the regression model, developed from small mostly healthy sample individuals, represents the pelvis of the individual. Functional methods depend on the number and placement of pelvis and thigh markers and functional movement trial performance [14,16,18,19]. The precision of the SCoRE functional method increased with the number of markers used [17], and functional trial performance has been shown to influence HJC estimation [16,18].…”

Section: Hjc Location Introductionmentioning

confidence: 99%

Reliability of functional and predictive methods to estimate the hip joint centre in human motion analysis in healthy adults

Kainz

Modenese

et al. 2017

Gait & Posture

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Effects of movement for estimating the hip joint centre

Cited by 103 publications

References 15 publications

Kinematics estimation of straddled movements on high bar from a limited number of skin markers using a chain model

Kinematics estimation of straddled movements on high bar from a limited number of skin markers using a chain model

Analysis of tetraplegic reaching in their 3D workspace following posterior deltoid-triceps tendon transfer

Reliability of functional and predictive methods to estimate the hip joint centre in human motion analysis in healthy adults

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