Showing papers in "Journal of Biomechanics in 2018"

TL;DR: This survey summarizes the current usage of machine learning methods in human movement biomechanics and highlights best practices that will enable critical evaluation of the literature, and provides recommendations for training and evaluating machine learning models.

TL;DR: It is concluded that treating the entire foot as a rigid-body segment is often inappropriate and ill-advised and recommended against computing conventional ankle power (between shank-foot).

TL;DR: The results advocate the use of IMS to quantify biomechanics of high-velocity movements in sport-specific settings to help improve the ecological validity of biomechanical testing and the timing of feedback.

TL;DR: These findings suggest that, when musculotendon parameters were linearly scaled from a reference model and the muscle force-length-velocity relationship was accounted for in the simulations, realistic knee contact forces could be estimated and these forces were not sensitive the method used to compute muscle maximum isometric force.

TL;DR: It is demonstrated that subject-specific gait modifications reduce the peak KAM more than uniformly assigned modifications and have the potential to slow the progression of medial compartment knee osteoarthritis.

TL;DR: Results from this small but extensively studied sample of elite runners demonstrate that loading profiles (load magnitude-number combinations) quantified with activity monitors can provide valuable information that may prove essential for testing hypotheses regarding overuse injury mechanisms, developing injury-prediction models, and designing and adjusting athlete- and loading-specific training programs and feedback.

TL;DR: This review examines the important bone-drilling parameters of bone structure, drill-bit geometry, operating conditions, and material evacuation, and considers the current techniques used in bone drilling and identifies a favorable range for each parameter to reduce unwanted complications due to mechanical or thermal effects.

TL;DR: WSS fixed points are classified and the aspects by which they could influence cardiovascular disease are reviewed and the potential role of time-averaged WSS fixed Points in biochemical mass transport is demonstrated using the recent concept of Lagrangian WSS structures.

TL;DR: Using NN and uniaxial accelerometer to estimate vertical ground reaction force (VGRF) can simplify the estimation of VGRF, reduce the computational requirement and reduce the necessity of multiple wearable sensors to obtain relevant parameters.

TL;DR: The results demonstrate that processing the signals of a single IMU device with machine-learning algorithms enables the detection of surface conditions and age-group status from an individual's walking behavior which, with further learning, may be utilized to facilitate identifying and intervening on fall risk.

TL;DR: The relative simplicity of the Lee-Sacks model is attractive for computationally-demanding applications such as FSI analysis and it is used to demonstrate how the presence and direction of material anisotropy affect the FSI dynamics of BHV leaflets.

TL;DR: Young, healthy adults walking at typical preferred speeds use step-by-step adjustments of step width to appropriately redirect their center of mass motion and ensure mediolateral stability, but it is presently unclear whether this control strategy is retained when walking at the slower speeds preferred by many clinical populations.

TL;DR: It is found that converting to forefoot striking decreased two risk factors for tibial stress fracture: average and peak loading rates and increasing cadence decreased one risk factor: peak hip adduction angle.

TL;DR: The findings reveal that the insoluble structural nucleoskeleton actively participates in βcatenin dynamics, and suggest a pathway by which LINC mediated connectivity may play a role in signaling pathways that depend on nuclear access of βCatenin.

TL;DR: An approach combining computational fluid dynamics (CFD) and mechano-regulation theory to optimise flow rates of a perfusion bioreactor and various scaffold geometries in order to maximise shear stress induced mineralisation is demonstrated.

TL;DR: This study shows that running speed affects lower limb joint kinematics and kinetics and suggests that specific intersegmental kinetic strategies might exist across the narrow range of running speeds.

TL;DR: Investigation of the relative effects of eight different ligament property datasets on FE model responses emphasized the important role of ligaments especially under larger moments and the need for their accurate representation in search for valid spinal models.

TL;DR: The results demonstrate that TEVAR-induced thrombus formation in type B aortic dissection can be predicted based on patient-specific anatomy and physiologically realistic boundary conditions, and can be used to identify anatomical or stent graft related factors that are associated with incomplete false lumen thrombosis followingTEVAR.

TL;DR: It is suggested that the EMG-assisted mode combined with minimise joint moments error and peak HJCF calibration is preferable for the estimation of HJ CF and generation of realistic load distribution across muscles.

TL;DR: Clear evidence for the presence of midtarsal locking was not observed in either strike pattern during running, however, the windlass mechanism appeared to be engaged to a greater extent during FFS.

TL;DR: A frictional bioreactor with confocal elastography and image-based cellular assays are combined to establish the link between cartilage friction, microscale shear strain, and acute, adverse cellular responses and reveal a mechanism through which cellular damage in cartilage arises from compromised lubrication.

TL;DR: The approach outlines an accurate knee joint biomechanics analysis and provides an effective method of applying individualized prosthesis design and verification in TKR.

TL;DR: The aim of this study is to develop and validate a computer vision based marker-less motion capture method to assess 3D joint kinematics of lifting tasks and find out if it is a viable alternative for surface marker-based human movement analysis.

TL;DR: This study compares estimates of mechanical properties of the Yucatan mini-pig brain in vivo and ex vivo using magnetic resonance elastography (MRE) at multiple frequencies to observe that porcine brain tissue in vivo appears stiffer than porcines ex vivo at frequencies of 100 Hz and 125 Hz, but measurements show closer agreement at lower frequencies.

TL;DR: It is suggested that microstructural changes associated with the osteoporotic condition can negatively affect interstitial fluid flow around osteocytes in the lacunar-canalicular system of cortical bone.

TL;DR: The findings highlighted the CPP hydropathy strongly correlated with penetration of water molecules in the lipid bilayer, thus supporting the hypothesis that the amount of water each CPP can route inside the membrane is modulated by the hydrophobic and hydrophilic character of the peptide.

TL;DR: The objective of this study was to determine and compare the reliability of the existing Kinect-based methods to estimate spatiotemporal gait parameters in healthy and post-stroke adults.

TL;DR: It is shown that increased variability with fatigue is not only observed in the fatigued joint (shoulder), but also in the elbow and shoulder-elbow coordination, and may have a goal of preserving global task performance.

TL;DR: In this paper, 14 patient-specific computational models for transcatheter aortic valve replacement (TAVR) with balloon-expandable Sapien XT devices were retrospectively developed to tune the material parameters of the implantation site mechanical model for the average TAVR population.

TL;DR: The results indicate that LCL is more viscous than other ligaments at low-frequency loads, and its modulus increased most steeply at the toe-region, possibly implying a greater amount of collagen.