Dispersion of helical axes during shoulder movements in young and elderly subjects

Temporiti, Federico; Furone, Roberta; Cescon, Corrado; Barbero, Marco; Gatti, Roberto

doi:10.1016/j.jbiomech.2019.03.018

Cited by 10 publications

(5 citation statements)

References 43 publications

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“…In the case of walking, the highest HAs dispersion has been reported in the stance phase of the gait cycle, when the horizontal component of the ground reaction force generates a considerable translational external moment at the level of the knee and high accuracy in neuromuscular control is required to ensure joint stability [9]. This phenomenon agrees with studies assigning a key role to neuromuscular control in determining HAs behavior, which represents a measure of joint stability [4,6,7,10].…”

Section: Introductionsupporting

confidence: 77%

“…Lower limb clusters were used to define thighs and shanks as rigid bodies, and the movement of the shank was normalized with respect to the thigh in order to compute their mutual positions at each timeframe as a composition of a rotation and translation around a fixed axis (HA) [25,26]. HAs were computed every 10 • of knee motion along the sagittal plane, and their dispersion was described using MD and MA parameters, according to previous studies [3,6,26]. Gait cycle was defined as the timeframe between two consecutive heel-strike events, determined when the markers on the heels assumed the minimum value along the vertical axis of the global reference system [27].…”

Section: Knee Kinematics Assessmentmentioning

confidence: 99%

“…Mean distance (MD) and mean angle (MA) represent parameters adopted to quantify HAs dispersion. In particular, MD describes the HAs displacement providing a quantification of center of rotation movements, whereas MA describes the HAs orientation, revealing the ability to maintain a single plane of motion during a motor task [5][6][7]. Interestingly, knee HAs can be computed through the application of specific algorithms to kinematic data acquired using an optoelectronic system, allowing for the study of HAs dispersion not only during open-chain knee flexion-extension movements but also during the performance of functional activities, such as walking [8,9].…”

Section: Introductionmentioning

confidence: 99%

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Dispersion of Knee Helical Axes during Walking after Maximal versus Resistant Strength Training in Healthy Subjects

et al. 2022

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Knee joint stability can be estimated during functional tasks through the analysis of the helical axes (HAs) dispersion. The study aimed at investigating (1) the test–retest reliability of knee HAs dispersion during walking and (2) the effects of maximal versus resistant strength training on knee HAs dispersion during walking. Thirty healthy subjects (age: 22.6 ± 2.1 years) randomized into a maximal training (MT) group and a resistance training (RT) group underwent a 2-week quadricep–hamstring strength training at 90% or 30% of the maximum voluntary contraction, respectively. Participants walked on a treadmill with clusters of retro-reflective markers placed on thighs and shanks to detect knee kinematics with an optoelectronic system. Knee HAs dispersion was assessed using mean distance (MD) and mean angle (MA) at 1 week before training start, before and after the first training session, and before and after the last training session. Moderate to excellent reliability was found for MD and MA on the sagittal plane (ICCs ≥ 0.70). No differences over time were found for MD and MA between MT and RT. HAs dispersion indexes resulted in reliable parameters for the quantification of knee stability on the sagittal plane during walking. Maximal and resistance strength training induced no knee HAs dispersion changes during walking.

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Section: Introductionsupporting

confidence: 77%

Section: Knee Kinematics Assessmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Dispersion of Knee Helical Axes during Walking after Maximal versus Resistant Strength Training in Healthy Subjects

et al. 2022

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“…Also, the ISA itself is ill-defined for low values of angular velocity [ 7 ]. Instead, the calculation of the pivot point becomes more accurate for joints having a spherical behavior [ 24 , 25 ].…”

Section: Introductionmentioning

confidence: 99%

“…From this follows the aim of the current work. Furthermore, from a biomechanical point of view, it is particularly important to quantify the dispersion or the deviation of the ISAs with respect to the ASA, that was correlated to the stability and healthiness of the joint [ 17 , 25 , 26 ].…”

Section: Introductionmentioning

confidence: 99%

An optimal method for calculating an average screw axis for a joint, with improved sensitivity to noise and providing an analysis of the dispersion of the instantaneous axes

Ancillao

Vochten²,

Verduyn³

et al. 2022

PLoS ONE

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The instantaneous (ISA) and average (ASA) screw axes are techniques commonly adopted in motion analysis to functionally locate the rotation axis and center of rotation of a joint. Several approaches for calculating such axes were proposed in literature and the main limitations were identified as the need for using a threshold on angular displacements or velocities for handling the cases where the ISA is ill-defined and the need for a method for reliably estimating the center or rotation in limit cases, such as a purely rotational motion in the three-dimensional space. Furthermore, in many applications, such as in biomechanics, it is useful to statistically estimate the dispersion or variation of the ISA with respect to the ASA. In this paper we propose a novel method for estimating an ASA. Our method represents an improvement over previous methods as it: (i) exploits an optimization procedure based on the instantaneous differential kinematics (screw twist); (ii) removes the need for a threshold by introducing a weighting based on the norm of angular velocity; (iii) handles the singular cases where the position of the ASA is ill-defined by proposing a regularization term in the optimization. In addition, we proposed a method for estimating the uncertainty in the ASA calculation. The same quantities serve as a measure of the dispersion of the ISAs with respect to the ASA. The method was tested on real data and surrogate data: (i) a human gait analysis trial representing the motion of a knee, (ii) the experimental recording of the free swing motion of a mechanical hinge and (iii) synthetically generated motion data of a purely rotational (cylindrical) motion. The results showed that the new method had a lower sensitivity to noise, was able to reasonably handle the singular cases and provide a detailed analysis of ISA dispersion.

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The helical axis of anatomical joints: calculation methods, literature review, and software implementation

Ancillao

2022

Med Biol Eng Comput

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Dispersion of helical axes during shoulder movements in young and elderly subjects

Cited by 10 publications

References 43 publications

Dispersion of Knee Helical Axes during Walking after Maximal versus Resistant Strength Training in Healthy Subjects

Dispersion of Knee Helical Axes during Walking after Maximal versus Resistant Strength Training in Healthy Subjects

An optimal method for calculating an average screw axis for a joint, with improved sensitivity to noise and providing an analysis of the dispersion of the instantaneous axes

The helical axis of anatomical joints: calculation methods, literature review, and software implementation

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