Back to search

Article

From Exercise to Strain: Rapid and Accurate Prediction of Femoral Neck Loading

2024-10-21

Abstract excerpt

Femoral neck fractures pose significant morbidity and mortality risks, particularly among osteoporotic patients. This study aims to identify effective exercises for enhancing bone health and develop a neural network model to predict femoral neck strains during exercise using inertial measurement unit (IMU) data. We employed musculoskeletal modeling (MSK) and finite element (FE) analysis to assess femoral neck stra...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
8fbaf842-571b-55c7-981a-cf457654d28d
DOI
10.1101/2024.10.20.24315745
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
From Exercise to Strain: Rapid and Accurate Prediction of Femoral Neck LoadingDOI 10.1101/2024.10.20.24315745
Real-time hip biomechanics from smart garments via a physics-informed neural networkSemantic proximity
Exercise-specific mechanical stimuli are associated with regional lumbar bone adaptation: A combined in vivo and in silico multi-scale studySemantic proximity
Predicting continuous ground reaction forces from accelerometers during uphill and downhill running: A recurrent neural network solutionSemantic proximity
Inelastic Mechanical Descriptors for Osteoporotic Hip Fracture Discrimination with 3D-DXA-Based Nonlinear Finite Element ModelsSemantic proximity
Analysis of the clinical effect of femoral neck system compared with three cannulated cancellous screws in the treatment of femoral neck fractures in young adultsSemantic proximity
Wearable sensor and machine learning accurately estimate tendon load and walking speed during immobilizing boot ambulationSemantic proximity
Improving gait classification in horses by using inertial measurement unit (IMU) generated data and machine learning.Semantic proximity
Comparison of two different finite element modeling pipelines for virtual mechanical testing of the distal third metacarpal bone in Thoroughbred racehorsesSemantic proximity
Deep Learning for Predicting Lumbar Instability Using Neutral Lateral Lumbar Radiographs: A Retrospective StudySemantic proximity
Impact of Age-Related Decline in Bone Mineral Density on Internal Fixation for Nondisplaced Femoral Neck Fractures: A Finite Element Analysis Using Virtual Simulation ModelsSemantic proximity
Musculoskeletal Modeling and Movement Simulation for Structural Hip Disorder Research: A Scoping Review of Methods and ApplicationsSemantic proximity
Gait-to-Contact (G2C) - A novel deep learning framework to predict total knee replacement wear from gait patternsSemantic proximity
Select a neighboring publication to make it the new centre.