Literature DB >> 30399117

Comparison of the FitroDyne and GymAware Rotary Encoders for Quantifying Peak and Mean Velocity During Traditional Multijointed Exercises.

John F T Fernandes1,2, Kevin L Lamb1, Cain C T Clark2,3, Jason Moran2, Ben Drury2, Amador Garcia-Ramos4,5, Craig Twist1.   

Abstract

ABSTRACT: Fernandes, JFT, Lamb, KL, Clark, CCT, Moran, J, Drury, B, Garcia-Ramos, A, and Twist, C. Comparison of the FitroDyne and GymAware rotary encoders for quantifying peak and mean velocity during traditional multijointed exercises. J Strength Cond Res 35(6): 1760-1765, 2021-The FitroDyne and GymAware rotary encoders are being increasingly used in resistance training to monitor movement velocity, but how closely their velocity outcomes agree is unknown. Consequently, this study aimed to determine the level of agreement between the FitroDyne and GymAware for the assessment of movement velocity in 3 resistance training exercises. Fifteen men performed 3 repetitions of bench press, back squat, and bent-over-row exercises at 10% 1 repetition maximum increments (from 20 to 80%). For each repetition, the FitroDyne and GymAware recorded peak and mean barbell velocity (cm·s-1). Although strongly correlated (r = 0.79-1.00), peak velocity values for the GymAware were significantly lower than the FitroDyne for all exercises and loads. Importantly, the random errors between the devices, quantified through Bland and Altman's 95% limits of agreement, were unacceptable, ranging from ±3.8 to 25.9 cm·s-1. Differences in mean velocity were smaller (and nonsignificant for most comparisons) and highly correlated (r = 0.86-1.00) between devices. Notwithstanding smaller random errors than for the peak values, mean values still reflected poor agreement (random errors between ±2.1 and 12.0 cm·s-1). These findings suggest that the FitroDyne and GymAware cannot record peak or mean velocity with acceptable agreement and should neither be used interchangeably nor their data compared.
Copyright © 2018 National Strength and Conditioning Association.

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Year:  2021        PMID: 30399117     DOI: 10.1519/JSC.0000000000002952

Source DB:  PubMed          Journal:  J Strength Cond Res        ISSN: 1064-8011            Impact factor:   4.415


  6 in total

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2.  Assessment of the load-velocity profile in the free-weight prone bench pull exercise through different velocity variables and regression models.

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Journal:  PLoS One       Date:  2019-02-27       Impact factor: 3.240

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Journal:  PLoS One       Date:  2022-01-28       Impact factor: 3.240

4.  Validity of using perceived exertion to assess muscle fatigue during resistance exercises.

Authors:  Hanye Zhao; Takuya Nishioka; Junichi Okada
Journal:  PeerJ       Date:  2022-03-01       Impact factor: 2.984

5.  Group versus Individualised Minimum Velocity Thresholds in the Prediction of Maximal Strength in Trained Female Athletes.

Authors:  Elias J G Caven; Tom J E Bryan; Amelia F Dingley; Benjamin Drury; Amador Garcia-Ramos; Alejandro Perez-Castilla; Jorge Arede; John F T Fernandes
Journal:  Int J Environ Res Public Health       Date:  2020-10-26       Impact factor: 3.390

6.  Prediction of One Repetition Maximum Using Reference Minimum Velocity Threshold Values in Young and Middle-Aged Resistance-Trained Males.

Authors:  John F T Fernandes; Amelia F Dingley; Amador Garcia-Ramos; Alejandro Perez-Castilla; James J Tufano; Craig Twist
Journal:  Behav Sci (Basel)       Date:  2021-05-07
  6 in total

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