Video Experimental Relacionado
Updated: Feb 8, 2026
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Determining The Electromyographic Fatigue Threshold Following a Single Visit Exercise Test
Published on: July 27, 2015
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Investigación sobre la influencia de la realidad virtual en la fatiga muscular durante el ejercicio en ergómetro de
Natalia Daniel1, Jerzy Małachowski2, Kamil Sybilski2
1Military University of Technology, Faculty of Mechatronics, Armament and Aviation, Institute of Rocket Technology and Mechatronics, Warsaw, Poland.
PloS one
|February 6, 2026
Resumen
La realidad virtual (RV) combinada con la electromiografía (EMG) ofrece una nueva forma de estudiar la fatiga muscular durante el ejercicio. Este estudio no encontró diferencias significativas en la fatiga muscular entre las simulaciones de remo en RV y fuera de RV.
Área de la Ciencia:
- Ciencias del Deporte
- Ingeniería Biomédica
- Interacción Humano-Computadora
Sus antecedentes:
- La realidad virtual (RV) se utiliza cada vez más en el entrenamiento deportivo y los estudios fisiológicos.
- La electromiografía (EMG) mide la actividad muscular, pero su integración con la RV para el análisis de la fatiga está poco explorada.
- Los datos cuantitativos sobre la fatiga muscular en entornos de RV son limitados.
Objetivo del estudio:
- Investigar la fatiga muscular utilizando realidad virtual (RV) y electromiografía (EMG) durante una simulación de remo.
- Establecer un marco para la evaluación cuantitativa de la fatiga muscular en entornos inmersivos de RV.
- Comparar la fatiga muscular en RV frente a condiciones de ejercicio tradicionales (sin RV).
Principales métodos:
- Ocho hombres sanos realizaron una simulación de remo en RV.
- Se registraron señales de EMG del músculo Recto Femoral, Bíceps Femoral y Gastrocnemio Lateral.
- Se utilizó la Transformada Wavelet Discreta (DWT) para analizar la fatiga muscular, con comparaciones estadísticas utilizando pruebas de rangos con signo de Wilcoxon.
Principales resultados:
- No se encontraron diferencias estadísticamente significativas en la fatiga muscular entre las condiciones de remo en RV y fuera de RV para los músculos probados (p > 0.05).
- La metodología integró con éxito la RV y la EMG para el monitoreo de la actividad muscular en tiempo real.
- Se calcularon las distribuciones de la Frecuencia Mediana (MDF) y la regresión lineal para el análisis de la fatiga.
Conclusiones:
- El marco propuesto ofrece un enfoque valioso para la evaluación cuantitativa de la fatiga muscular en RV inmersiva.
- La integración de la RV con la EMG proporciona nuevas perspectivas sobre la modulación de la fatiga muscular durante el ejercicio.
- Se necesita más investigación para explorar las diferencias de fatiga en diversas aplicaciones de RV y grupos de participantes.
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