A CNN on segmented ultrasound images of gastrocnemius and soleus predicts joint angle, EMG, and moment at 55%, 57%, and 46% accuracy via 16-fold cross-validation across 32 held-out participants.
Estimating Full Regional Skeletal Muscle Fibre Orientation from B-Mode Ultrasound Images Using Convolutional, Residual, and Deconvolutional Neural Networks,
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Estimation of Absolute States of Human Skeletal Muscle via Standard B-Mode Ultrasound Imaging and Deep Convolutional Neural Networks
A CNN on segmented ultrasound images of gastrocnemius and soleus predicts joint angle, EMG, and moment at 55%, 57%, and 46% accuracy via 16-fold cross-validation across 32 held-out participants.