Journal of Biomechanical Engineering-Transactions of the Asme最新文献

Hemodynamic variations influence the location of entry tears in aortic dissection. This study investigates whether variations in tear strength across the human aorta contribute to these clinical manifestations. Circumferential and axial strips were collected from nine axial and two circumferential sites along each autopsied aorta, yielding 1,188 samples (11 aortas × 18 sites × 2 directions × 3 layers per site). These samples underwent tear testing to assess tear strength and tear energy, constituting resistance to tear propagation. Adventitial tear parameters were significantly higher than those of the intima and media, with no significant differences between the latter two, supporting the observation that entry tears typically occur in the inner wall. Tear propagation angles were approximately 15 and 75 degrees for circumferential and axial medial strips, and 30 and 45 degrees for circumferential and axial strips of the intima and adventitia, with minimal variation along the aorta. These findings indicate that the media, and to a lesser extent the other layers, have higher resistance to axial tearing compared to circumferential tearing, aligning with the clinical observation of circumferentially directed tears. Intimal and adventitial tear parameters increased modestly along the aorta, while medial parameters varied less, explaining why entry tears rarely originate in the abdominal aorta. Tear parameters in inner and outer quadrants were similar at most axial locations, except for dissimilar tear propagation angles of the intima and adventitia in the proximal aorta (especially the arch), explaining why entry tears seldom involve the entire circumference.

Current studies on human locomotion focus mainly on solid ground walking conditions. In this paper, we present a biomechanic comparison of human walking locomotion on solid ground and sand. A novel dataset containing 3-dimensional motion and biomechanical data from 20 able-bodied adults for locomotion on solid ground and sand is collected. We present the data collection methods and report the sensor data along with the kinematic and kinetic profiles of joint biomechanics. The results reveal significant gait adaptations to the yielding terrain (i.e., sand), such as increased stance duration, reduced push-off force, and altered joint angles and moments. Specifically, the knee angle during the gait cycle on sand shows a delayed peak flexion and an increased overall magnitude, highlighting an adaptation to maintain stability on yielding terrain. These adjustments, including changes in joint timing and energy conservation mechanisms, provide insights into the motion control strategies humans adopt to navigate on yielding terrains. The dataset, containing synchronized ground reaction forces (GRFs) and kinematic data, offers a valuable resource for further exploration in foot-terrain interactions and human walking assistive devices development on yielding terrains.

Despite the increasing use of IMUs and machine learning techniques for gait analysis, there remains a gap in which feature selection methods is best tailored for gait time series prediction. This study explores the impact of using various feature selection methods on the performance of a Random Forest (RF) model in predicting lower limb joints kinematics from two IMUs. This study primary objectives are: 1) Comparing eight feature selection methods based on their ability to identify more robust feature sets, time efficiency, and impact on RF models? performance, and 2) assessing the performance of RF models using generalized feature sets on a new dataset. Twenty-three typically developed children (ages 6 to 15) participated in data collection involving Optical Motion Capture, and IMUs. Joint kinematics were computed using OpenSim. By employing eight feature selection methods (four filter and four embedded methods), the study identified 30 important features for each target. These selected features were used to develop personalized and generalized RF models to predict lower limbs joints kinematics during gait. This study reveals that various feature selection methods have a minimal impact on the performance of personalized and generalized RF models. However, the RF and Mutual Information (MI) methods provided slightly lower errors and outliers. MI demonstrated remarkable robustness by consistently identifying the most common features across different participants. ElasticNet emerged as the fastest method. Overall, the study illuminated the robustness of RF models in predicting joint kinematics during gait in children, showcasing consistent performance across various feature selection methods.

Due to individual differences, accurate identification of tissue elastic parameters is essential for biomechanical modeling in surgical guidance for hepatic venous injections. This paper aims to acquire the absolute Young's modulus of heterogeneous soft tissues during endoscopic surgery with 2D ultrasound images. First, we introduced a force-sensor-less approach that utilizes a pre-calibrated soft patch with a known Young's modulus and its ultrasound images to calculate the external forces exerted by the probe on the tissue. Second, we introduced a Kriging-based inverse algorithm to identify the relative Young's modulus (RYM) between the inclusion and the background tissue. The RYM was estimated based on 2D plane strain approximation and mapped to the RYM of 3D soft tissue through a trained Kriging model. Finally, we developed a direct method to identify the background Young's modulus (BYM) based on calculated external forces and RYM. The simulation results demonstrate the high efficiency and robustness of the Kriging-based inverse algorithm in identifying RYM. Physical experiments on the three phantoms show that the errors of the identified BYM and RYM are all below 15%. The proposed methodology for Young's modulus identification is feasible and achieves satisfactory accuracy and computational efficiency in both simulations and physical experiments.

A criterion characterizing the combined neurotoxicity of amyloid beta and tau oligomers is suggested. A mathematical model that makes it possible to calculate a value of this criterion during senile plaque and NFT formation is proposed. Computations show that for physiologically relevant parameter values, the value of the criterion increases approximately linearly as time increases. Once the formation of neurofibrillary tangles starts in addition to the senile plaque formation, the slope characterizing the rate at which the criterion increases becomes larger. The critical value of the criterion upon reaching which the neuron dies is estimated. Computations predict that unless the production rates of amyloid beta and tau monomers are very large, in order for the accumulated toxicity to reach the critical value, the degradation machinery responsible for the degradation of amyloid beta and tau must become dysfunctional. The value of the criterion after 20 years of the aggregation process is strongly influenced by deposition rates of amyloid beta and tau oligomers into senile plaques and NFTs. This suggests that deposition of amyloid beta and tau oligomers into senile plaques and NFTs may reduce accumulated toxicity by sequestering more toxic oligomeric species into less toxic insoluble aggregates.

To measure knee joint kinematics, coordinate systems (CS) must be assigned to the tibia and femur. Functional CS have been shown to be more reproducible than Anatomical. This study aims to quantify the benefits of using Functional CS in in vitro testing. Seven cadaveric knee joints were loaded in a 6-Degree of Freedom (DOF) joint simulator. Anatomical CS were established for each joint and Functional CS were calculated based on joint kinematics during passive motion. Loading profiles were applied to the knee joints using different CS definitions. Resulting kinematics and kinetics were obtained to quantify the 1) reduction in intra-knee kinematic response variation, 2) reduction in kinematic cross-talk, 3) reduction in inter-knee kinematic response variation, and 4) improvement in force control performance, when using Functional CS compared to Anatomical. Functional CS, compared to Anatomical, 1) significantly reduced intra-knee kinematic response variation across 12 combined loading conditions for nearly all DOF, 2) significantly reduced kinematic cross-talk during anterior-posterior, varus-valgus and internal-external rotation laxity testing across many DOF, 3) significantly reduced inter-knee kinematic response variation for all DOFs over a gait profile and combined loading conditions, and 4) significantly improved Anterior-Posterior and Varus-Valgus force/torque control performance during dynamic loading profiles. The advantage of using Functional CS for in vitro testing has been demonstrated across all considered domains. Functional CS should be used when performing in vitro knee joint testing.

Elevation in left ventricular (LV) myocardial stiffness is a key remodeling-mediated change that underlies the development and progression of heart failure (HF). Despite the potential diagnostic value of quantifying this deterministic change, there is a lack of enabling techniques that can be readily incorporated into current clinical practice. To address this unmet clinical need, we propose a simple protocol for processing routine echocardiographic imaging data to provide an index of left ventricular myocardial stiffness, with protocol specification for patients at risk for heart failure with preserved ejection fraction. We demonstrate our protocol in both a preclinical and clinical setting, with representative findings that suggest sensitivity and translational feasibility of obtained estimates.

Functional electrical stimulation (FES) is often used in poststroke gait rehabilitation to address decreased walking speed, foot drop, and decreased forward propulsion. However, not all individuals experience clinically meaningful improvements in gait function with stimulation. Previous research has developed adaptive functional electrical stimulation (AFES) systems that adjust stimulation timing and amplitude at every stride to deliver optimal stimulation. The purpose of this work was to determine the effects of a novel AFES system on functional gait outcomes and compare them to the effects of the existing FES system. Twenty-four individuals with chronic poststroke hemiparesis completed 64-min walking trials on an adaptive and fixed-speed treadmill with no stimulation, stimulation from the existing FES system, and stimulation from the AFES system. There was no significant effect of stimulation condition on walking speed, peak dorsiflexion angle, or peak propulsive force. Walking speed was significantly faster and peak propulsive force was significantly larger on the adaptive treadmill (ATM) than the fixed-speed treadmill (both p < 0.0001). Dorsiflexor stimulation timing was similar between stimulation conditions, but plantarflexor stimulation timing was significantly improved with the AFES system compared to the FES system (p = 0.0059). Variability between and within subjects was substantial, and some subjects experienced clinically meaningful improvements in walking speed, peak dorsiflexion angle, and peak propulsive force. However, not all subjects experienced benefits, suggesting that further research to characterize which subjects exhibit the best instantaneous response to FES is needed to optimize poststroke gait rehabilitation using FES.

Dentin is a biological composite exhibiting multilevel hierarchical structure, which confers excellent damage tolerance to this tissue. Despite the progress in characterization of fracture behavior of dentin, the contribution of composite structure consisting of peritubular dentin (PTD), intertubular dentin (ITD) and tubules to fracture resistance remains elusive. In this study, calculations are carried out for energy release rate associated with crack propagation in the microstructure of dentin. Crack penetration and deflection at the PTD-ITD interface are accounted for in the numerical analyses. It is found that high stiffness of the PTD plays a role in increasing crack driving force, promoting crack growth in the microstructure of dentin. For crack penetration across the PTD-ITD interface, the crack driving force increases with increasing tubule radius; and thick PTD generates amplified crack driving force, thereby leading to weak fracture resistance. The driving force for crack deflection increases with the increase in tubule radius in the case of short cracks, while for long cracks, there is a decrease in driving force with increasing tubule radius. Furthermore, we show that the competition between crack penetration and deflection at the PTD-ITD interface is controlled by the ratio of PTD to ITD elastic modulus, tubule radius and thickness of PTD. High PTD stiffness can increase the propensity of crack deflection. The microstructure of dentin with large tubule radius favors crack deflection and thick PTD is beneficial for crack penetration.

To the best of the author's knowledge, this paper presents the first attempt to develop a mathematical model of the formation and growth of inclusions containing misfolded TATA-box binding protein associated factor 15 (TAF15). It has recently been shown that TAF15 inclusions are involved in approximately 10% of cases of frontotemporal lobar degeneration (FTLD). FTLD is the second most common neurodegenerative disease after Alzheimer's disease (AD). It is characterized by a progressive loss of personality, behavioral changes, and a decline in language skills due to the degeneration of the frontal and anterior temporal lobes. The model simulates TAF15 monomer production, nucleation and autocatalytic growth of free TAF15 aggregates, and their deposition into TAF15 inclusions. The accuracy of the numerical solution of the model equations is validated by comparing it with analytical solutions available for limiting cases. Physiologically relevant parameter values were used to predict TAF15 inclusion growth. It is shown that the growth of TAF15 inclusions is influenced by two opposing mechanisms: the rate at which free TAF15 aggregates are deposited into inclusions and the rate of autocatalytic production of free TAF15 aggregates from monomers. A low deposition rate slows inclusion growth, while a high deposition rate hinders the autocatalytic production of new aggregates, thus also slowing inclusion growth. Consequently, the rate of inclusion growth is maximized at an intermediate deposition rate of free TAF15 aggregates into TAF15 inclusions.