Estimación de la proximidad al fallo muscular mediante electromiografía de superficie y aprendizaje profundo

Leonardo Garofalo1, Sophie Defauw1, Giuseppe Calcagno2

  • 1AthleteIQ, Inc., 1111b South Governors Avenue, Dover, 19904, DE, USA.

Resumen

Este estudio presenta un método de aprendizaje profundo para estimar la proximidad al fallo muscular utilizando señales de electromiografía de superficie (sEMG) en tiempo real. Este enfoque puede personalizar el entrenamiento de resistencia adaptando los entrenamientos según los niveles de fatiga muscular.

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