Agreement of Power Measures between Garmin Vector and SRM Cycle Power Meters
Authors:
- 6 June 2016
- journal article
- research article
- Published by Taylor & Francis in Measurement in Physical Education and Exercise Science
- Vol. 20 (3) , 167-172
Abstract
This study aimed to determine if the Garmin Vector (Schaffhausen, Switzerland) power meter produced acceptable measures when compared with the Schoberer Rad Messetechnik (SRM; Julich, Germany) power meter across a range of high-intensity efforts. Twenty-one well-trained cyclists completed power profiles (seven maximal mean efforts between 5 and 600 s) using Vector and SRM power meters. Data were compared using assessments of heteroscedasticity, t tests, linear regression, and typical error of estimate (TEE). The data were heteroscedastic, whereby the Vector pedals increasingly overestimated values at higher power outputs; however, t tests did not identify any significant differences between power meters (p > .05). Using linear regression, Vector data were fit to an SRM equivalent (slope = .99; intercept = −9.87) and TEE produced by this equation was 3.3% (3.0%–3.8%). While the data shows slight heteroscedasticity due to differing strain-gauge placement and resultant torque measurement variance, the Vector appears acceptable for measures of power output across various cycling efforts.Keywords
This publication has 9 references indexed in Scilit:
- Assessment of Bilateral Asymmetry in Cycling Using a Commercial Instrumented Crank System and Instrumented PedalsInternational Journal of Sports Physiology and Performance, 2014
- The Power Profile Predicts Road Cycling MMPInternational Journal of Sports Medicine, 2010
- Accuracy of the Velotron Ergometer and SRM Power MeterInternational Journal of Sports Medicine, 2009
- Effects of Saddle Height on Economy in CyclingJournal of Strength & Conditioning Research, 2008
- Accuracy of SRM and Power Tap Power Monitoring Systems for BicyclingMedicine & Science in Sports & Exercise, 2004
- Reliability of Mean Power Recorded During Indoor and Outdoor Self-Paced 40 km Cycling Time-TrialsInternational Journal of Sports Medicine, 2001
- The bioenergetics of world class cyclingJournal of Science and Medicine in Sport, 2000
- Statistical Methods For Assessing Measurement Error (Reliability) in Variables Relevant to Sports MedicineSports Medicine, 1998
- Multivariable optimization of cycling biomechanicsJournal of Biomechanics, 1989