kusumowidi / sEMG-Muscle-Fatigue-ClasificationView external linksLinks
This is one of my capstone project for "Biomedical Signal Analysis" course to classifies muscle fatigue using custom CNN and ResNet50 models, based on handgrip strength estimations from Surface Electromyography (sEMG) signals. The Short-Time Fourier Transform (STFT) converts sEMG signals into time-frequency representations for CNN input.
☆13Jul 12, 2024Updated last year
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