Journal of Biomechanical Engineering: Recent submissions
Now showing items 421-440 of 5302
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A Comparison of Squat Depth and Sex on Knee Kinematics and Muscle Activation
(The American Society of Mechanical Engineers (ASME), 2023)The squat is an essential exercise for strengthening lower body musculature. Although squats are frequently employed to improve lower extremity strength and neuromuscular control, differences between sexes and slight ... -
A PhysicsGuided Neural Operator Learning Approach to Model Biological Tissues From Digital Image Correlation Measurements
(The American Society of Mechanical Engineers (ASME), 2022)We present a datadriven workflow to biological tissue modeling, which aims to predict the displacement field based on digital image correlation (DIC) measurements under unseen loading scenarios, without postulating a ... -
Feasibility of Vascular Parameter Estimation for Assessing Hypertensive Pregnancy Disorders
(The American Society of Mechanical Engineers (ASME), 2022)Hypertensive pregnancy disorders (HPDs), such as preeclampsia, are leading sources of both maternal and fetal morbidity in pregnancy. Noninvasive imaging, such as ultrasound (US) and magnetic resonance imaging (MRI), is ... -
Neural Network Approaches for Soft Biological Tissue and Organ Simulations
(The American Society of Mechanical Engineers (ASME), 2022)Given the functional complexities of soft tissues and organs, it is clear that computational simulations are critical in their understanding and for the rational basis for the development of therapies and replacements. A ... -
Reducing Geometric Uncertainty in Computational Hemodynamics by Deep LearningAssisted ParallelChain MCMC
(The American Society of Mechanical Engineers (ASME), 2022)Computational hemodynamic modeling has been widely used in cardiovascular research and healthcare. However, the reliability of model predictions is largely dependent on the uncertainties of modeling parameters and boundary ... -
Generating Human Arm Kinematics Using Reinforcement Learning to Train Active Muscle Behavior in Automotive Research
(The American Society of Mechanical Engineers (ASME), 2022)Computational human body models (HBMs) are important tools for predicting human biomechanical responses under automotive crash environments. In many scenarios, the prediction of the occupant response will be improved by ... -
Gait Phase Detection in Walking and Stairs Using Machine Learning
(The American Society of Mechanical Engineers (ASME), 2022)Machine learningbased activity and gait phase recognition algorithms are used in powered motion assistive devices to inform control of motorized components. The objective of this study was to develop a supervised multiclass ... -
A FeatureEncoded PhysicsInformed Parameter Identification Neural Network for Musculoskeletal Systems
(The American Society of Mechanical Engineers (ASME), 2022)Identification of muscletendon force generation properties and muscle activities from physiological measurements, e.g., motion data and raw surface electromyography (sEMG), offers opportunities to construct a subjectspecific ... -
MultiFidelity Gaussian Process Surrogate Modeling of Pediatric Tissue Expansion
(The American Society of Mechanical Engineers (ASME), 2022)Growth of skin in response to stretch is the basis for tissue expansion (TE), a procedure to gain new skin area for reconstruction of large defects. Unfortunately, complications and suboptimal outcomes persist because TE ... -
Universal Solution Manifold Networks (USMNets): NonIntrusive MeshFree Surrogate Models for Problems in Variable Domains
(The American Society of Mechanical Engineers (ASME), 2022)We introduce universal solution manifold network (USMNet), a novel surrogate model, based on artificial neural networks (ANNs), which applies to differential problems whose solution depends on physical and geometrical ... -
Special Issue: DataDriven Methods in Biomechanics
(The American Society of Mechanical Engineers (ASME), 2022)Machine learning (ML) and artificial intelligence (AI) are impacting all engineering fields and biomechanical engineering is no exception. This special issue aims at showcasing some of the recent methods and applications ... -
Bayesian Inference With Gaussian Process Surrogates to Characterize Anisotropic Mechanical Properties of Skin From Suction Tests
(The American Society of Mechanical Engineers (ASME), 2022)One of the intrinsic features of skin and other biological tissues is the high variation in the mechanical properties across individuals and different demographics. Mechanical characterization of skin is still a challenge ... -
Enhancing Mechanical Metamodels With a Generative Model-Based Augmented Training Dataset
(The American Society of Mechanical Engineers (ASME), 2022)Modeling biological soft tissue is complex in part due to material heterogeneity. Microstructural patterns, which play a major role in defining the mechanical behavior of these tissues, are both challenging to characterize ... -
Data-Driven Simulation of Fisher–Kolmogorov Tumor Growth Models Using Dynamic Mode Decomposition
(The American Society of Mechanical Engineers (ASME), 2022)The computer simulation of organ-scale biomechanistic models of cancer personalized via routinely collected clinical and imaging data enables to obtain patient-specific predictions of tumor growth and treatment response ... -
An Electromyography-Based Constitutive Law for Force Generation in Skeletal Muscle—Part I: Model Development
(The American Society of Mechanical Engineers (ASME), 2022)This paper proposes a new method for estimating skeletal muscle forces using a model derived from dimensional analysis. It incorporates electromyography signals and muscle force–length, force–velocity, and force–frequency ... -
Development and Validation of a Framework for Predictive Simulation of Treadmill Gait
(The American Society of Mechanical Engineers (ASME), 2022)Treadmill training is a common intervention to promote healthy walking function for individuals with pathological gait. However, because of the heterogeneity of many patient populations, determining how an individual will ... -
Motion-Based Ground Reaction Forces and Moments Prediction Method for Interaction With a Moving and/or Non-Horizontal Structure
(The American Society of Mechanical Engineers (ASME), 2022)Inverse dynamics methods are commonly used for the biomechanical analysis of human motion. External forces applied on the subject are required as an input data to solve the dynamic equilibrium of the subject. Force platforms ... -
A Novel Testing Method to Quantify Mechanical Properties of the Intact Annulus Fibrosus Ring From Rat-Tail Intervertebral Discs
(The American Society of Mechanical Engineers (ASME), 2022)The annulus fibrosus is the ring-like exterior of the intervertebral disc, which is composed of concentrically organized layers of collagen fiber bundles. The mechanical properties of the annulus have been studied extensively; ... -
Comparison of Existing Methods for Characterizing Bi-Linear Natural Ankle Quasi-Stiffness
(The American Society of Mechanical Engineers (ASME), 2022)Natural ankle quasi-stiffness (NAS) is a mechanical property of the ankle joint during dynamic motion. NAS has been historically calculated as the average slope (linear regression) of the net ankle moment versus ankle angle ... -
Importance of Non-Newtonian Computational Fluid Modeling on Severely Calcified Aortic Valve Geometries—Insights From Quasi-Steady State Simulations
(The American Society of Mechanical Engineers (ASME), 2022)The Newtonian model has commonly been used to represent the viscosity of blood in the aorta, despite blood itself being a non-Newtonian fluid. This is justified where shear rates tend to be large. However, we hypothesized ...