A Normative Database of Hip and Knee Joint Biomechanics During Dynamic Tasks Using Four Functional Methods With Three Functional Calibration Tasks

2019 ◽  
Vol 142 (4) ◽  
Author(s):  
Hunter J. Bennett ◽  
Kevin A. Valenzuela ◽  
Kristina Fleenor ◽  
Joshua T. Weinhandl

Abstract Although predicted hip joint center (HJC) locations are known to vary widely between functional methods, no previous investigation has detailed functional method-dependent hip and knee biomechanics. The purpose of this study was to define a normative database of hip joint biomechanics during dynamic movements based upon functional HJC methods and calibration tasks. Thirty healthy young adults performed arc, star arc, and two-sided calibration tasks. Motion capture and ground reaction forces were collected during walking, running, and single-leg landings (SLLs). Two sphere-fit (geometric and algebraic) and two coordinate transformation techniques were implemented using each calibration (12 total method–calibration combinations). Surprisingly, the geometric fit-two-sided model placed the HJC at the midline of the pelvis and above the iliac spines, and thus was removed from analyses. A database of triplanar hip and knee kinematics and hip moments and powers was constructed using the mean of all subjects for the eleven method–calibration combinations. A nested analysis of variance approach compared calibration [method] peak hip kinematics and kinetics. Most method differences existed between geometric fit and coordinate transformations (58 of 84 total). No arc-star arc differences were found. Thirty-two differences were found between the two-sided and arc/star arc calibrations. This database of functional method based hip and knee biomechanics serves as an important reference point for interstudy comparisons. Overall, this study illustrates that functional HJC method can dramatically impact hip biomechanics and should be explicitly detailed in future work.

2015 ◽  
Vol 138 (1) ◽  
Author(s):  
C. A. McGibbon ◽  
J. Fowler ◽  
S. Chase ◽  
K. Steeves ◽  
J. Landry ◽  
...  

Accurate hip joint center (HJC) location is critical when studying hip joint biomechanics. The HJC is often determined from anatomical methods, but functional methods are becoming increasingly popular. Several studies have examined these methods using simulations and in vivo gait data, but none has studied high-range of motion activities, such a chair rise, nor has HJC prediction been compared between males and females. Furthermore, anterior superior iliac spine (ASIS) marker visibility during chair rise can be problematic, requiring a sacral cluster as an alternative proximal segment; but functional HJC has not been explored using this approach. For this study, the quality of HJC measurement was based on the joint gap error (JGE), which is the difference in global HJC between proximal and distal reference segments. The aims of the present study were to: (1) determine if JGE varies between pelvic and sacral referenced HJC for functional and anatomical methods, (2) investigate which functional calibration motion results in the lowest JGE and if the JGE varies depending on movement type (gait versus chair rise) and gender, and (3) assess whether the functional HJC calibration results in lower JGE than commonly used anatomical approaches and if it varies with movement type and gender. Data were collected on 39 healthy adults (19 males and 20 females) aged 14–50 yr old. Participants performed four hip “calibration” tests (arc, cross, star, and star-arc), as well as gait and chair rise (activities of daily living (ADL)). Two common anatomical methods were used to estimate HJC and were compared to HJC computed using a published functional method with the calibration motions above, when using pelvis or sacral cluster as the proximal reference. For ADL trials, functional methods resulted in lower JGE (12–19 mm) compared to anatomical methods (13–34 mm). It was also found that women had significantly higher JGE compared to men and JGE was significantly higher for chair rise compared to gait, across all methods. JGE for sacrum referenced HJC was consistently higher than for the pelvis, but only by 2.5 mm. The results indicate that dynamic hip range of movement and gender are significant factors in HJC quality. The findings also suggest that a rigid sacral cluster for HJC estimation is an acceptable alternative for relying solely on traditional pelvis markers.


2004 ◽  
Vol 37 (3) ◽  
pp. 349-356 ◽  
Author(s):  
Stephen J. Piazza ◽  
Ahmet Erdemir ◽  
Noriaki Okita ◽  
Peter R. Cavanagh

2013 ◽  
Vol 284-287 ◽  
pp. 1547-1551
Author(s):  
Hsien I Lin ◽  
Chi Li Chen ◽  
Yi Pin Chiang

Finding the hip joint center (HJC) is crucial in human gait analysis since it affects kinematics and kinetics calculation of human lower limbs. Currently, the HJC location is found by either functional or prediction approaches. Prediction approaches simply use the pelvic geometric parameters to predict the HJC location. Functional approaches have been verified that they are more accurate than prediction methods with sufficient range of motion (ROM) data. However, for patients with locomotion problems to conduct full-ROM data, this paper proposes a method to fuse the functional and prediction approaches to have an intermediate result with less ROM data. The proposed method simulates large ROM data for the functional method to obtain an accurate HJC. We tested and verified the proposed method on three male subjects at the age of 25 with different body-mass indices. The experiment showed that the worst result of the proposed method was at least the same as that predicted by the prediction approach. While larger ROM data was applied, our result was significantly improved.


Author(s):  
Derek J. Lura ◽  
Stephanie L. Carey ◽  
Rajiv V. Dubey

Research in upper body kinematics and kinetics requires accurate estimation of anatomical joints. Currently the use of regressive techniques using anatomical landmarks is the most common way of calculating upper limb joint centers. Research has shown that functional joint center methods can produce more accurate results than traditional regressive methods in the estimation of hip joint center. This paper investigates the use of functional methods for the estimation of the shoulder joint center using 3D motion analysis data. Three methods for calculating the functional joint center were tested: 1) a standard sphere fit regression, 2) a regression developed and tested for use finding the hip joint center (Piazza method) [1], and 3) a gradient method developed for this paper similar to the one used by Schonauer [2]. First the functional joint center methods were tested in MATLAB using data with random points rotating around a known joint center with varying amounts of noise. Using the MATLAB calculations the accuracy and repeatability of each method was analyzed. Functional joint centers were then calculated from two sets of motion analysis data. The first data set contained shoulder range of motion data, and the second set was gathered during activities of daily living (ADL). Both motion analysis sets used data collected from a healthy adult male subject using a Vicon motion analysis system. The repeatability of each method using the motion analysis data was then analyzed. The MATLAB tests show that the gradient method has the highest tolerance to noise in the data. Results from the motion analysis test show that, of the methods tested, no functional method was found to have consistent results for individual tasks. Each of the functional methods requires a range of motion not prevalent in most ADLs in order to generate a reliable joint center. Joint centers calculations improved in accuracy and reliability with a greater number of trials and larger range of motion. The functional methods are suitable for use in future studies that include a large range of motion.


2017 ◽  
Vol 13 (2) ◽  
pp. 113-118
Author(s):  
S. Valentin ◽  
C. Peham ◽  
R.R. Zsoldos ◽  
T.F. Licka

Accurate identification of the hip joint centre (HJC) is crucial for the correct estimation of knee and hip joint loads and kinematics, which is particularly relevant in orthopaedic surgery and musculoskeletal modelling. Several methods have been described for calculation of the HJC in humans, however, no studies have used these methods in the horse despite a similar need for improved evaluation of hip joint biomechanics in rehabilitation and musculoskeletal modelling. This preliminary study uses the commonly used functional method (least-squares sphere fit) to determine the HJC in three equid cadavers. Bone pins with reflective markers attached were drilled into the tuber coxae (TC), tuber ischium (TI), tuber sacrale (TS), greater trochanter (GT), third trochanter (TT) and lateral femoral condyle (FC) of the uppermost limb of the cadavers positioned in lateral recumbency. Three repetitions of passive movements consisting of pro-and retraction, ab- and adduction and circumduction were performed. The HJC was calculated using a least-squares sphere fitting method and presented as a distance from the TC based on a percentage of the TC to TI vector magnitude. Mean (± standard deviation) of the HJC is located 52.4% (± 3.9) caudally, 0.2% (± 6.5) dorsally, and 19.8% (± 4.2) medially from the TC. This study is the first to quantify the HJC in horses ex vivo using a functional method. Further work (in vivo and imaging) is required to validate the findings of the present study.


Author(s):  
Ata M. Kiapour ◽  
Carmen E. Quatman ◽  
Richard C. Ditto ◽  
Jason W. Levine ◽  
Samuel C. Wordeman ◽  
...  

A substantial number of knee injuries are reported in the United States annually, and are principally observed among young athletes. ACL (anterior cruciate ligament) injury is one of the most common and devastating knee injuries [1]. Many factors influence such injuries, from anatomical variability to magnitude and direction of loading. A better understanding of knee biomechanics and injury mechanisms may improve current preventative, surgical and rehabilitation strategies, and thus, mediate injury risk. Considerable study of knee joint biomechanics under various modes of loading has been undertaken [2–4]. Additional work is needed to characterize the effects of different loading factors on knee biomechanics, especially ACL loading patterns under more physiologically relevant conditions. The purpose of this study is to develop a new technique to investigate the effects of various single- and multi-axes loading conditions on knee kinematics, ACL and MCL (medial collateral ligament) strains, and TF (tibiofemoral) articular cartilage pressure distribution under quasistatic loading conditions that simulate various weight bearing activities.


2004 ◽  
Vol 03 (01) ◽  
pp. 117-144 ◽  
Author(s):  
AKIRA YOSHIMORI

This article reviews microscopic development of time dependent functional method and its application to chemical physics. It begins with the formulation of density functional theory. The time dependent extension is discussed after the equilibrium formulation. Its application is explained by solvation dynamics. In addition, it reviews studies of nonlinear effects on polar liquids and simple mixtures.


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