Assessment of the functional method of hip joint center location subject to reduced range of hip motion

Piazza, Stephen J.; Erdemir, Ahmet; Okita, Noriaki; Cavanagh, Peter R.

doi:10.1016/s0021-9290(03)00288-4

Cited by 153 publications

(123 citation statements)

References 14 publications

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“…Although the hip joint center has been located on humans using numerical optimization of motion data of the thigh (Cappozzo, 1984;Leardini et al, 1999), this is not feasible for ostriches since the femur has a very small range of motion (Gatesy and Biewener, 1991), which can result in error (Piazza et al, 2004). Instead, the hip joint center was defined statically.…”

Section: Model Developmentmentioning

confidence: 99%

Running in ostriches (Struthio camelus): three-dimensional joint axes alignment and joint kinematics

Rubenson

Lloyd

Besier

et al. 2007

Journal of Experimental Biology

115

181

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displacement of the lower limb necessary for steering the swinging limb clear of the stance limb and replaces what would otherwise require greater adduction/abduction and/or internal/external rotation, allowing for less complex joints, musculoskeletal geometry and neuromuscular control. Significant rotation about the joints' nonflexion/extension axes nevertheless occurs over the running stride. In particular, hip abduction and knee internal/external and varus/valgus motion may further facilitate limb clearance during the swing phase, and substantial non-flexion/extension movement at the knee is also observed during stance. Measurement of 3-D segment and joint motion in birds will be aided by the use of functionally determined axes of rotation rather than assumed axes, proving important when interpreting the biomechanics and motor control of avian bipedalism.

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Section: Model Developmentmentioning

confidence: 99%

Running in ostriches (Struthio camelus): three-dimensional joint axes alignment and joint kinematics

Rubenson

Lloyd

Besier

et al. 2007

Journal of Experimental Biology

115

181

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“…The accuracy of the functional method depends on ROMs, the type and amplitude of the movement of the femur relative to the pelvis, markers location, and the number of data samples. Thus, it may be inefficient when motion is limited and it would result HJC location errors of 26 mm [26] [28] [37]. However, the error would be much more during motions like walking, ascending stair and descending stair [26].…”

Section: Hip Joint Centermentioning

confidence: 99%

Calculation and Visualization of Range of Motion of Hip Joint from MRI

Aghayan

Lee

2014

2014 IEEE 27th International Symposium on Computer-Based Medical Systems

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Femoro-Acetabular Impingement (FAI) is a hip joint disease which affects and impairs the range of hip motion during performing activities of daily living, jogging, walking, or climbing stairs due to the bony abnormalities of the joint. Ballet dancers and athletes (e.g. gymnasts and hockey players) put their hips at the risk of FAI by extremely moving the hip mainly by excessively rotating the joint.In this research, we introduce a visualization system which helps surgeons to analyze the range of hip motions as well as to have a better communication with patients. These goals are achieved by presenting three dimensional (3D) visualizations of motion envelope by examining the maximum possible rotation of the digital hip bones. Our computer simulation system estimates, analyzes and visualizes the maximum hip range of motion (ROM) for the constructed 3D bone models that are extracted from Magnetic Resonance Images (MRI) after segmenting the bones. These tasks are accomplished by first calculating Hip Joint Center (HJC) which is center of rotation of femoral head on the 3D segmented MRI models followed by simulating hip motions with examining impingement between the femur and the acetabulum using our collision detection system. In our collision detection system, surfaces of femoral head and acetabulum bones are sampled in the spherical coordinates based on rasterization and interpolation. Then, the distance between the femoral head and acetabulum are computed to prevent impingement between them. The maximum motion degree of femur bone within depression of acetabulum in every direction iii during the digital simulation shows the ROMs of the inputted MRI of the hip joint. Six primary plane motions (flexion/extension, abduction/adduction and internal/external rotation) as well as various combinations of these motions (maximum rotation of the hip between every two rotational movements) and successive movements (maximum rotational movement of the hip per another rotational movement) are simulated and analyzed along with 3D visualization of estimated range of these motions.Generally, the ROM differs by some factors such as age, gender, ethnicity, and geographic location. For instance, newborns up to age two have considerably greater motion in hip flexion and hip abduction than adults. Our system by 3D visualization of motion envelope will provide a platform to understand quicker and better the effect of bony morphology of the hip joint on the possible ROM.We also examine the long-standing question about moving center of rotation related to ROM.We found out the ROM becomes bigger especially when the center moves outward to the direction of acetabulum axis.This thesis does not consider the effect of muscle and other surrounding connective tissue on the hip ROM since they can be altered significantly by physical training to show the potential of maximum ROM. For example a ballerina has a bigger ROM leading a bigger motion envelope compared with non-dancers. Hence we visualize the range of joint motions and their envel...

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“…In biomechanics, some studies that estimate the joint center (Ehrig, Taylor, Duda, & Heller, 2006;Gamage & Lasenby, 2002;Piazza, Erdemir, Okita, & Cavanagh, 2004;Siston & Delp, 2006) can be considered as linear models. However, systematic modeling were not carried out because procedures for determining the uncertainty of estimation parameters and goodness of fit of the model were not performed.…”

Section: Introductionmentioning

confidence: 99%

“…To estimate , which is expressed by a proximal segment coordinate system, a method called transformation method (Ehrig et al, 2006;Piazza et al, 2004;Siston & Delp, 2006) should be used. This is the segment coordinate system being given as transformation matrix in Equation 1.…”

Section: Introductionmentioning

confidence: 99%

A Statistical Model for Marker Position in Biomechanics

Kim¹

2017

Korean Journal of Sport Biomechanics

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Objective: The purpose of this study was to apply a general linear model in statistics to marker position vectors used to study human joint rotational motion in biomechanics.Method: For this purpose, a linear model that represents the effect of the center of hip joint rotation and the rotation of the marker position on the response was formulated. Five male subjects performed hip joint functional motions, and the positions of nine markers attached on the thigh with respect to the pelvic coordinate system were acquired at the same time. With the nine marker positions, the center of hip joint rotation and marker positions on the thigh were estimated as parameters in the general linear model. Results:After examining the fitted model, this model did not fit the data appropriately.Conclusion: A refined model is required to take into account specific characteristics of longitudinal data and other covariates such as soft tissue artefacts.

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Assessment of the functional method of hip joint center location subject to reduced range of hip motion

Cited by 153 publications

References 14 publications

Running in ostriches (Struthio camelus): three-dimensional joint axes alignment and joint kinematics

Running in ostriches (Struthio camelus): three-dimensional joint axes alignment and joint kinematics

Calculation and Visualization of Range of Motion of Hip Joint from MRI

A Statistical Model for Marker Position in Biomechanics

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