The accuracy of measuring velocity during weightlifting movements with five velocity-based training devices

同心的 培训(气象学) 模拟 职位(财务) 线性回归 计算机科学 统计 数学 物理医学与康复 物理 医学 气象学 几何学 财务 经济
作者
Sergio A. Lemus,Mallory Volz,Avery Blasdale,F. J. Beron‐Vera,Cheng‐Bang Chen,Bryan J. Mann,Francesco Travascio
出处
期刊:International Journal of Sports Science & Coaching [SAGE]
卷期号:19 (6): 2501-2512 被引量:1
标识
DOI:10.1177/17479541241266248
摘要

The use of weightlifting exercises is prevalent in competitive and recreational environments, as well as sport-specific training. Traditionally, weightlifting coaches prescribe specific training loads based on an individual's maximal ability. Velocity-based training offers an alternative method that promises to quantify strength based on velocity and provides information that increases competitiveness through real-time feedback. Various velocity measurement devices are available on the market. Their precision is critical for the adequate implementation of velocity-based training. The aim of the present study was to compare the concentric peak velocity measurements of five of these devices during two weightlifting movements, the snatch and clean, to data collected with a 12-camera motion capture system, which was considered as gold standard. It was hypothesized that the velocity measurement devices used in this study would vary in accuracy based on their retail prices. Velocity readings associated with light and moderate (40% and 70% of one-repetition max) loads were measured for both the snatch and clean performed by 12 competitive weightlifters. A least products regression was used to assess validity by comparing five devices against a criterion measure. A general linear model showed statistical differences in the velocities measured with these five devices ( p < 0.001). Specifically, the GymAware RS linear position transducer was the most accurate device, demonstrating no fixed or proportional bias when used to quantify velocity during the snatch and clean. The remaining four devices significantly underestimated peak velocity, which would directly impact the daily planning of lifters’ training. Practitioners must consider the error and bias of each device before implementing velocity-based training.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
我从来没觉得搞科研开心过完成签到,获得积分10
刚刚
刚刚
Akim应助七号楼少女采纳,获得10
刚刚
刚刚
1秒前
ycy小菜鸡应助开心友卉采纳,获得20
1秒前
逸风望发布了新的文献求助10
1秒前
aal完成签到,获得积分20
1秒前
缓慢含烟完成签到,获得积分10
1秒前
2秒前
隐形曼青应助sun采纳,获得10
2秒前
tangyuan完成签到,获得积分10
2秒前
超级安荷完成签到,获得积分10
2秒前
2秒前
白子双发布了新的文献求助10
3秒前
3秒前
老实幻姬发布了新的文献求助10
3秒前
4秒前
junfeiwang发布了新的文献求助10
4秒前
早春完成签到 ,获得积分10
4秒前
HH完成签到,获得积分10
4秒前
如风随水完成签到,获得积分10
4秒前
贾哲宇发布了新的文献求助10
5秒前
优秀谷菱发布了新的文献求助10
5秒前
辐睿完成签到,获得积分10
5秒前
苞米洋子发布了新的文献求助10
5秒前
5秒前
6秒前
6秒前
小马甲应助hkl1542采纳,获得10
6秒前
123完成签到,获得积分10
6秒前
ZXQ111完成签到,获得积分10
7秒前
科目三应助甜美的秋尽采纳,获得10
7秒前
宣依云完成签到 ,获得积分10
8秒前
8秒前
chutai发布了新的文献求助10
8秒前
忧虑的鹭洋完成签到,获得积分10
8秒前
8秒前
爆米花应助junfeiwang采纳,获得10
8秒前
落寞土豆发布了新的文献求助10
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Kinesiophobia : a new view of chronic pain behavior 3000
Les Mantodea de guyane 2500
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 2000
Standard: In-Space Storable Fluid Transfer for Prepared Spacecraft (AIAA S-157-2024) 1000
What is the Future of Psychotherapy in a Digital Age? 700
Signals, Systems, and Signal Processing 510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5953452
求助须知:如何正确求助?哪些是违规求助? 7158122
关于积分的说明 15930998
捐赠科研通 5088173
什么是DOI,文献DOI怎么找? 2734742
邀请新用户注册赠送积分活动 1695610
关于科研通互助平台的介绍 1616930