Garmin wearable device offers reliable alternative for on-water stroke rate and velocity measurement in rowing

Author:

Watts Sophie P12ORCID,Binnie Martyn J12,Goods Paul SR12,Doyle Matthew M2,Hewlett Jamie2,Peeling Peter12

Affiliation:

1. School of Human Sciences (Exercise and Sport Science), The University of Western Australia, Crawley, WA, Australia

2. Western Australian Institute of Sport, Mt Claremont, WA, Australia

Abstract

Performance tracking devices in the form of wrist-worn watches are common in rowing; however, the accuracy of relevant output variables (i.e. stroke rate [SR] and velocity) during on-water training is unknown. To assess the quality of wrist-watch data output, 16 rowing athletes recorded 118 on-water rowing sessions using a Garmin Forerunner 735XT, which was compared to a Catapult Optimeye R4 tracking device. Garmin recording function was set to ‘Every Second’ ( N = 68 sessions) or ‘Smart’ ( N = 50 sessions). Catapult velocity was calculated as the average velocity per stroke, while a 15 s velocity moving average was determined for Garmin data. Catapult and Garmin were filtered for training-specific data (SR = 14–50 strokes per minute [spm]; velocity = 2.1–7.0 m/s−1). Efficacy and reliability of the Garmin was assessed via the difference between devices (% error), intra-class correlation coefficient (ICC ± 95% confidence interval (CI)) and coefficient of variation (CV%). Error in 15 s smoothed velocity was 3.8% (‘Every Second’) and 8.2% (‘Smart’). Both recording functions demonstrated ‘good’ reliability (ICC = 0.75–0.9, CV < 10%) for SR and velocity; the exception was SR using ‘Smart’ recording. Our data suggests that when using the ‘Every Second’ recording function, data is filtered and velocity is smoothed over 15 s, the Garmin device can be reliable for SR and velocity measurement within 1 spm and <0.20 m/s−1 respectively.

Funder

Australian Government Research Training Program Scholarship

Western Australian Institute of Sport

Publisher

SAGE Publications

Subject

General Engineering

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3