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Current methods for obtaining accurate joint loading data lack simplicity, efficiency, and cost-effectiveness. This study aims to generate joint loading prediction models using anthropometric parameters and walking speed in overweight or obese females with flexible flatfoot. Sixteen participants’ motion capture data from walking trails and anthropometric parameters were collected. The lower limb joint contact forces and the wa...
Subclinical atrial fibrillation prediction based on deep learning and strain analysis using echocardiographyNARA Subscribed
Subclinical atrial fibrillation (SCAF), also known as atrial high-rate episodes (AHREs), refers to asymptomatic heart rate elevations associated with increased risks of atrial fibrillation and cardiovascular events. Although deep learning (DL) models leveraging echocardiographic images from ultrasound are widely used for cardiac function analysis, their application to AHRE prediction remains unexplored. This study introduces a...
Modeling and analysis of explicit dynamics of foot landingNARA Subscribed