使用汗液乳酸传感器评估游泳中的乳酸阈值:前瞻性研究

Hiroki Okawara, Tomonori Sawada, Daisuke Nakashima, Haruki Fujitsuka, Yuki Muramoto, Daigo Hinokuma, Yuta Oshikiri, Keisuke Ishizaki, Jiro Miki, Reira Hara, Motoaki Sano, Kazuki Sato, Masaya Nakamura, Takeo Nagura, Yoshinori Katsumata
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摘要

由于评估有氧能力是提高游泳成绩的关键,因此应开发一种简单而广泛适用的技术。因此,我们旨在无创可视化游泳过程中汗液乳酸盐(sLA)水平的实时变化,并研究汗液乳酸盐阈值(sLT)和血液乳酸盐阈值(bLT)之间的关系。这项前瞻性研究纳入了 24 名大学游泳运动员(年龄:20.7 秒±1.8 岁,58% 为男性),他们在游泳水槽中进行了有间歇或无间歇的递增速度运动测试,在两个不同的日子里使用安装在上臂背侧的防水可穿戴乳酸传感器测量心率(HR)、bLT 和基于 sLA 水平的 sLT。相关系数和布兰-阿尔特曼方法用于验证 sLT 与 bLT 和个人成绩的相似性。在所有测试中,sLA 水平的动态变化都是在无延迟、无伪影、无污染的情况下连续测量并投射到可穿戴设备上的。在最初的最小电流反应之后,随着速度的增加,sLA 水平大幅上升,与此同时,心率也持续上升。sLT 时的速度与 bLT 时的速度密切相关(p
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Lactate threshold evaluation in swimming using a sweat lactate sensor: A prospective study

Since assessing aerobic capacity is key to enhancing swimming performance, a simple and widely applicable technology should be developed. Therefore, we aimed to noninvasively visualize real-time changes in sweat lactate (sLA) levels during swimming and investigate the relationship between lactate thresholds in sweat (sLT) and blood (bLT). This prospective study included 24 university swimmers (age: 20.7 s ± 1.8 years, 58% male) who underwent exercise tests at incremental speeds with or without breaks in a swimming flume to measure heart rate (HR), bLT, and sLT based on sLA levels using a waterproof wearable lactate sensor attached to the dorsal upper arm on two different days. The correlation coefficient and Bland–Altman methods were used to verify the similarities of the sLT with bLT and personal performance. In all tests, dynamic changes in sLA levels were continuously measured and projected onto the wearable device without delay, artifacts, or contamination. Following an initial minimal current response, with increasing speed the sLA levels increased substantially, coinciding with a continuous rise in HR. The speed at sLT strongly correlated with that at bLT (p < 0.01 and r = 0.824). The Bland–Altman plot showed a strong agreement (mean difference: 0.08 ± 0.1 m/s). This prospective study achieved real-time sLA monitoring during swimming, even with vigorous movement. The sLT closely approximated bLT; both were subsequently validated for their relevance to performance.

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