Do Power Meter Data Depend on the Device on Which They Are Collected? Comparison of Eleven Different Recordings

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 po...

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Main Authors: José-Antonio Salas-Montoro, Ignacio Valdivia-Fernández, Alejandro de Rozas, José-Manuel Reyes-Sánchez, Mikel Zabala, Juan-José Pérez-Díaz
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Sensors
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Online Access:https://www.mdpi.com/1424-8220/25/2/295
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author José-Antonio Salas-Montoro
Ignacio Valdivia-Fernández
Alejandro de Rozas
José-Manuel Reyes-Sánchez
Mikel Zabala
Juan-José Pérez-Díaz
author_facet José-Antonio Salas-Montoro
Ignacio Valdivia-Fernández
Alejandro de Rozas
José-Manuel Reyes-Sánchez
Mikel Zabala
Juan-José Pérez-Díaz
author_sort José-Antonio Salas-Montoro
collection DOAJ
description 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.
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spelling doaj-art-84d799ff47a04454bc8bb0587756f66e2025-01-24T13:48:24ZengMDPI AGSensors1424-82202025-01-0125229510.3390/s25020295Do Power Meter Data Depend on the Device on Which They Are Collected? Comparison of Eleven Different RecordingsJosé-Antonio Salas-Montoro0Ignacio Valdivia-Fernández1Alejandro de Rozas2José-Manuel Reyes-Sánchez3Mikel Zabala4Juan-José Pérez-Díaz5Department of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, 18011 Granada, SpainDepartment of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, 18011 Granada, SpainDepartment of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, 18011 Granada, SpainDepartment of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, 18011 Granada, SpainDepartment of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, 18011 Granada, SpainDepartment of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, 18011 Granada, SpainThis 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.https://www.mdpi.com/1424-8220/25/2/295cyclingpowercadencecycle computerGarminall-out effort
spellingShingle José-Antonio Salas-Montoro
Ignacio Valdivia-Fernández
Alejandro de Rozas
José-Manuel Reyes-Sánchez
Mikel Zabala
Juan-José Pérez-Díaz
Do Power Meter Data Depend on the Device on Which They Are Collected? Comparison of Eleven Different Recordings
Sensors
cycling
power
cadence
cycle computer
Garmin
all-out effort
title Do Power Meter Data Depend on the Device on Which They Are Collected? Comparison of Eleven Different Recordings
title_full Do Power Meter Data Depend on the Device on Which They Are Collected? Comparison of Eleven Different Recordings
title_fullStr Do Power Meter Data Depend on the Device on Which They Are Collected? Comparison of Eleven Different Recordings
title_full_unstemmed Do Power Meter Data Depend on the Device on Which They Are Collected? Comparison of Eleven Different Recordings
title_short Do Power Meter Data Depend on the Device on Which They Are Collected? Comparison of Eleven Different Recordings
title_sort do power meter data depend on the device on which they are collected comparison of eleven different recordings
topic cycling
power
cadence
cycle computer
Garmin
all-out effort
url https://www.mdpi.com/1424-8220/25/2/295
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