AIMC Topic: Mechanical Phenomena

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Performance of deep-learning models incorporating knee alignment information for predicting ground reaction force during walking.

Biomedical engineering online Jun 24, 2025
BACKGROUND: Wearable sensors combined with deep-learning models are increasingly being used to predict biomechanical variables. Researchers have focused on either simple neural networks or complex pretrained models with multiple layers. In addition, ...
Neural Networks, Computer Female Adult Humans Walking Mechanical Phenomena Knee Biomechanical Phenomena Male Deep Learning
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Construction of a deep learning-based predictive model to evaluate the influence of mechanical stretching stimuli on MMP-2 gene expression levels in fibroblasts.

Biomedical engineering online Jun 5, 2025
BACKGROUND: Matrix metalloproteinase-2 (MMP-2) secretion homeostasis, governed by the multifaceted interplay of skin stretching, is a pivotal determinant influencing wound healing dynamics. This investigation endeavors to devise an artificial intelli...
Humans Stress, Mechanical Biomechanical Phenomena Mechanical Phenomena Animals Deep Learning Fibroblasts Matrix Metalloproteinase 2
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Predicting ground reaction forces and center of pressures from kinematic data in crutch gait based on LSTM.

Medical engineering & physics Apr 8, 2025
Crutches are of extensive applications in the field of rehabilitation. Comprehensively analyzing the ground reaction forces (GRFs) on both crutches and feet can evaluate the patients' walking function recovery. Given more force platforms are needed i...
Female Adult Biomechanical Phenomena Humans Neural Networks, Computer Pressure Mechanical Phenomena Crutches Male Gait
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Synthetic data generation in motion analysis: A generative deep learning framework.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Feb 4, 2025
Generative deep learning has emerged as a promising data augmentation technique in recent years. This approach becomes particularly valuable in areas such as motion analysis, where it is challenging to collect substantial amounts of data. The objecti...
Knee Joint Hip Joint Mechanical Phenomena Male Deep Learning Movement Humans Biomechanical Phenomena
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A bio-lattice deep learning framework for modeling discrete biological materials.

Journal of the mechanical behavior of biomedical materials Jan 25, 2025
Biological tissues dynamically adapt their mechanical properties at the microscale in response to stimuli, often governed by discrete interacting mechanisms that dictate the material's behavior at the macroscopic scale. An approach to model the discr...
Deep Learning Models, Biological Mechanical Phenomena Finite Element Analysis Biomechanical Phenomena
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Development of hybrid bionanocomposites of poly(3-hydroxybutyrate-co-3-hydroxyvalerate) with zinc oxide and silicon-doped hydroxyapatite nanocrystals and machine learning for predicting dynamic mechanical properties.

International journal of biological macromolecules Dec 30, 2024
The development of hybrid materials that integrate bioactive and antimicrobial properties within a biodegradable and biocompatible polymer matrix is a key focus in current biomedical research and applications. A significant research gap exists in the...
Polyesters Silicon Durapatite Mechanical Phenomena Polyhydroxybutyrates Nanocomposites Materials Testing Biocompatible Materials Cell Survival Zinc Oxide Humans Machine Learning Nanoparticles
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Super-fast and accurate nonlinear foot deformation Prediction using graph neural networks.

Journal of the mechanical behavior of biomedical materials Dec 9, 2024
Recently, there has been a significant increase in the number of foot diseases, highlighting the importance of non-surgical treatments. Customized insoles, tailored to an individual's foot morphology, have emerged as a promising solution. However, th...
Humans Mechanical Phenomena Finite Element Analysis Graph Neural Networks Time Factors Nonlinear Dynamics Foot Neural Networks, Computer Biomechanical Phenomena
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Learning soft tissue deformation from incremental simulations.

Medical physics Dec 6, 2024
BACKGROUND: Surgical planning for orthognathic procedures demands swift and accurate biomechanical modeling of facial soft tissues. Efficient simulations are vital in the clinical pipeline, as surgeons may iterate through multiple plans. Biomechanica...
Mechanical Phenomena Finite Element Analysis Deep Learning Face Humans Computer Simulation Biomechanical Phenomena
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Optimization and control of robotic vertebral plate grinding: Predictive modeling, parameter optimization, and fuzzy control strategies for minimizing bone damage in laminectomy procedures.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Nov 19, 2024
During the robotic grinding of vertebral plates in high-risk laminectomy procedures, programmed operations may inadvertently induce force or temperature-related damage to the bone tissue. Therefore, it is imperative to explore a control methodology a...
Mechanical Phenomena Robotic Surgical Procedures Animals Laminectomy Spine Fuzzy Logic Bone Plates
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Improving arterial stiffness prediction with machine learning utilizing hemodynamics and biomechanical features derived from phase contrast magnetic resonance imaging.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Nov 12, 2024
Arterial stiffness has emerged as a prominent marker of risk for cardiovascular diseases. Few studies are interested in predicting symptomatic or asymptomatic arterial stiffness from hemodynamics and biomechanics parameters. Machine learning models c...
Middle Aged Hemodynamics Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Machine Learning Biomechanical Phenomena Vascular Stiffness Male Female Mechanical Phenomena Adult
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