Do Power Meter Data Depend on the Device on Which They Are Collected? Comparison of Eleven Different Recordings
Metadatos
Mostrar el registro completo del ítemAutor
Salas Montoro, José Antonio; Valdivia Fernández, Ignacio; de Rozas Galán, Alejandro; Reyes Sánchez, José Manuel; Zabala Díaz, Mikel; Pérez Díaz, Juán JoséEditorial
MDPI
Materia
cycling power cadence
Fecha
2025-01-07Referencia bibliográfica
Salas Montoro, J.A. et. al. Sensors 2025, 25, 295. [https://doi.org/10.3390/s25020295]
Patrocinador
Predoctoral fellowships by the Spanish Ministry of Universities awarded (FPU20/00611)Resumen
This study evaluated the influence of cycle computers on the accuracy of power
and cadence data. The research was divided into three phases: (1) a graded exercise test
(GXT) at different constant loads to record power and cadence data; (2) a self-paced effort
lasting 1 min to measure mean maximal power output (MMP); and (3) a short all-out effort.
Eight cyclists completed the GXT, ten participated in the 1-min test, and thirty participated
in the sprint effort. All participants pedaled on a controlled-resistance cycle ergometer, and
the data were recorded using the ergometer itself and ten synchronized cycle computers of
the same brand, configured to record at 1 Hz. The results showed minimal variations in
power and cadence between devices during the GXT, suggesting adequate accuracy for
constant efforts lasting a certain duration. However, in self-paced and high-intensity efforts
(1-min and short all-out efforts), significant differences were observed between several
devices, particularly in cadence and mean power, highlighting the relevance of device
selection in these contexts. These findings suggest that, while variations in constant efforts
may be negligible, in short-duration, high-intensity activities, the choice of device may be
crucial for the accuracy and reliability of the data.