ISB recommendations on the reporting of intersegmental forces and moments during human motion analysis

Derrick, Timothy R.; Bogert, Antonie J. van den; Cereatti, Andrea; Dumas, Raphaël; Fantozzi, Silvia; Leardini, Alberto

doi:10.1016/j.jbiomech.2019.109533

Cited by 132 publications

(99 citation statements)

References 66 publications

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“…The studies focusing on joint kinetics (net joint moments, power, and work) potentially bear the most significance, as they can explain the causes of motion. However, the net joint moments calculated from inverse dynamics analyses (IDA) are known to be impacted by several factors (Derrick et al, 2020) (e.g. filtering and soft-tissue artefact), and necessitate fictitious residual forces and moments to be applied at the model's root segment (e.g.…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional data-tracking simulations of sprinting using a direct collocation optimal control approach

Haralabidis

Serrancolí

Colyer

et al. 2021

PeerJ

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Biomechanical simulation and modelling approaches have the possibility to make a meaningful impact within applied sports settings, such as sprinting. However, for this to be realised, such approaches must first undergo a thorough quantitative evaluation against experimental data. We developed a musculoskeletal modelling and simulation framework for sprinting, with the objective to evaluate its ability to reproduce experimental kinematics and kinetics data for different sprinting phases. This was achieved by performing a series of data-tracking calibration (individual and simultaneous) and validation simulations, that also featured the generation of dynamically consistent simulated outputs and the determination of foot-ground contact model parameters. The simulated values from the calibration simulations were found to be in close agreement with the corresponding experimental data, particularly for the kinematics (average root mean squared differences (RMSDs) less than 1.0° and 0.2 cm for the rotational and translational kinematics, respectively) and ground reaction force (highest average percentage RMSD of 8.1%). Minimal differences in tracking performance were observed when concurrently determining the foot-ground contact model parameters from each of the individual or simultaneous calibration simulations. The validation simulation yielded results that were comparable (RMSDs less than 1.0° and 0.3 cm for the rotational and translational kinematics, respectively) to those obtained from the calibration simulations. This study demonstrated the suitability of the proposed framework for performing future predictive simulations of sprinting, and gives confidence in its use to assess the cause-effect relationships of technique modification in relation to performance. Furthermore, this is the first study to provide dynamically consistent three-dimensional muscle-driven simulations of sprinting across different phases.

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Section: Introductionmentioning

confidence: 99%

Three-dimensional data-tracking simulations of sprinting using a direct collocation optimal control approach

Haralabidis

Serrancolí

Colyer

et al. 2021

PeerJ

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show abstract

“…S1 and S2 in the Supplementary Information). ID depends on filtering of joint kinematics and GRFs 38 whereas trajectory optimization benefits from a physics-based filtering. The mtp moments cannot be compared to the reference until late stance phase since GRFs were applied to the calcaneus in ID whereas we simulated ground contact at the calcaneus and toe segment.…”

Section: Discussionmentioning

confidence: 99%

“…For ID, joint angles were filtered within OpenSim with a 3rd order dual-pass low-pass Butterworth filter with a cut-off frequency set to 15 Hz 37 . The GRFs were filtered with the same filter to avoid artifacts in the computed joint moments 38 . After processing, single gait cycles were extracted from right to right heel strike using the minimum of the right heel marker.…”

Section: Methodsmentioning

confidence: 99%

Efficient trajectory optimization for curved running using a 3D musculoskeletal model with implicit dynamics

Nitschke

Dorschky

Heinrich

et al. 2020

Sci Rep

Self Cite

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Trajectory optimization with musculoskeletal models can be used to reconstruct measured movements and to predict changes in movements in response to environmental changes. It enables an exhaustive analysis of joint angles, joint moments, ground reaction forces, and muscle forces, among others. However, its application is still limited to simplified problems in two dimensional space or straight motions. The simulation of movements with directional changes, e.g. curved running, requires detailed three dimensional models which lead to a high-dimensional solution space. We extended a full-body three dimensional musculoskeletal model to be specialized for running with directional changes. Model dynamics were implemented implicitly and trajectory optimization problems were solved with direct collocation to enable efficient computation. Standing, straight running, and curved running were simulated starting from a random initial guess to confirm the capabilities of our model and approach: efficacy, tracking and predictive power. Altogether the simulations required 1 h 17 min and corresponded well to the reference data. The prediction of curved running using straight running as tracking data revealed the necessity of avoiding interpenetration of body segments. In summary, the proposed formulation is able to efficiently predict a new motion task while preserving dynamic consistency. Hence, labor-intensive and thus costly experimental studies could be replaced by simulations for movement analysis and virtual product design.

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“…A computational study by Hedenstierna et al [ 28 ] identified trapezius and splenius capitis as dominant in response to frontal impacts. The head-neck model used cannot take into account detailed inter-segmental kinematics and load distribution over several muscles with different moment arms [ 54 ]. Rather, it provides an estimation of the cumulative neck-muscle load that can be related to the EMG and MC signals measured at the upper trapezius.…”

Section: Discussionmentioning

confidence: 99%

Estimating the Effects of Awareness on Neck-Muscle Loading in Frontal Impacts with EMG and MC Sensors

Kraśna

Đorđević

2020

Sensors

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Critical traffic situations, such as vehicle collisions and emergency manoeuvres, can cause an occupant to respond with reflex and voluntary actions. These affect the occupant’s position and dynamic loading during interactions with the vehicle’s restraints, possibly compromising their protective function. Electromyography (EMG) is a commonly used method for measuring active muscle response and can also provide input parameters for computer simulations with models of the human body. The recently introduced muscle-contraction (MC) sensor is a wearable device with a piezo-resistive element for measuring the force of an indenting tip pressing against the surface of the body. The study aimed to compare how data collected simultaneously with EMG, video motion capture, and the novel MC sensor are related to neck-muscle loading. Sled tests with low-severity frontal impacts were conducted, assuming two different awareness conditions for seated volunteers. The activity of the upper trapezius muscle was measured using surface EMG and MC sensors. The neck-muscle load F was estimated from an inverse dynamics analysis of the head’s motion captured in the sagittal plane. The volunteers’ response to impact was predominantly reflexive, with significantly shorter onset latencies and more bracing observed when the volunteers were aware of the impact. Cross-correlations between the EMG and MC, EMG and F, and F and MC data were not changed significantly by the awareness conditions. The MC signal was strongly correlated (r = 0.89) with the neck-muscle loading F in the aware and unaware conditions, while the mean ΔF-MC delays were 21.0 ± 15.1 ms and 14.6 ± 12.4 ms, respectively. With the MC sensor enabling a consistent measurement-based estimation of the muscle loading, the simultaneous acquisition of EMG and MC signals improves the assessment of the reflex and voluntary responses of a vehicle’s occupant subjected to low-severity loading.

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ISB recommendations on the reporting of intersegmental forces and moments during human motion analysis

Abstract: ISB recommendations on the reporting of intersegmental forces and moments ISB recommendations on the reporting of intersegmental forces and moments during human motion analysis during human motion analysis

Cited by 132 publications

References 66 publications

Three-dimensional data-tracking simulations of sprinting using a direct collocation optimal control approach

Three-dimensional data-tracking simulations of sprinting using a direct collocation optimal control approach

Efficient trajectory optimization for curved running using a 3D musculoskeletal model with implicit dynamics

Estimating the Effects of Awareness on Neck-Muscle Loading in Frontal Impacts with EMG and MC Sensors

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