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首页> 外文期刊>Physiological measurement >Non-invasive measurement of tibialis anterior muscle temperature during rest, cycling exercise and post-exercise recovery
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Non-invasive measurement of tibialis anterior muscle temperature during rest, cycling exercise and post-exercise recovery

机译：休息，骑自行车运动和运动后恢复期间胫骨前肌温度的无创测量

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摘要

We introduce a non-invasive and accurate method to assess tibialis anterior muscle temperature (Tm) during rest, cycling exercise, and post-exercise recovery using the insulation disk (INDISK) technique. Twenty-six healthy males (23.6 +/- 6.2 years; 24.1 +/- 3.1 body mass index) were randomly allocated into the 'model' (n = 16) and the 'validation' (n = 10) groups. Participants underwent 20 min supine rest, 20 min cycling exercise at 60% of age-predicted maximum heart rate, and 20 min supine post-exercise recovery. In the model group, Tm (34.55 +/- 1.02 degrees C) was greater than INDISK temperature (Tid; 32.44 +/- 1.23 degrees C; p < 0.001) and skin surface temperature (Tsk; 29.84 +/- 1.47 degrees C; p < 0.001) throughout the experimental protocol. The strongest prediction model (R-2 = 0.646) incorporated Tid and the difference between the current Tid temperature and that recorded four minutes before. No mean difference (p > 0.05) and a strong correlation (r = 0.804; p < 0.001) were observed between Tm and predicted Tm (Tm-pred) in the model group. Cross-validation analyses in the validation group demonstrated no mean difference (p > 0.05), a strong correlation (r = 0.644; p < 0.001), narrow 95% limits of agreement (-0.06 +/- 1.51), and low percent coefficient of variation (2.24%) between Tm (34.39 +/- 1.00 degrees C) and Tm-pred (34.45 +/- 0.73 degrees C). We conclude that the novel technique accurately predicts Tm during rest, cycling exercise, and post-exercise recovery, providing a valid and cost-efficient alternative when direct Tm measurement is not feasible.
机译：我们介绍了一种无创，准确的方法，可以使用绝缘盘（INDISK）技术在休息，骑自行车运动和运动后恢复期间评估胫骨前肌温度（Tm）。 26名健康男性（23.6 +/- 6.2岁; 24.1 +/- 3.1体重指数）被随机分配到“模型”组（n = 16）和“验证”组（n = 10）。参与者进行20分钟的仰卧休息，20分钟的自行车运动（年龄预测的最大心率的60％）和20分钟的仰卧运动后恢复。在模型组中，Tm（34.55 +/- 1.02摄氏度）高于INDISK温度（Tid; 32.44 +/- 1.23摄氏度; p <0.001）和皮肤表面温度（Tsk; 29.84 +/- 1.47摄氏度; p <0.001）。最强的预测模型（R-2 = 0.646）包含了Tid以及当前Tid温度与四分钟前记录的温度之间的差。在模型组中，Tm与预测的Tm（Tm-pred）之间没有观察到平均差异（p> 0.05）和强相关性（r = 0.804; p <0.001）。验证组中的交叉验证分析显示无均差（p> 0.05），强相关性（r = 0.644; p <0.001），95％的一致性狭窄（-0.06 +/- 1.51）和低百分比系数Tm（34.39 +/- 1.00摄氏度）和Tm-pred（34.45 +/- 0.73摄氏度）之间的差异（2.24％）。我们得出的结论是，新技术可以准确地预测休息，骑自行车运动和运动后恢复期间的Tm值，这在直接Tm测量不可行时提供了一种有效且具有成本效益的选择。

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