首页> 外文会议>Conference on Photon Migration and Diffuse - Light Imaging; Jun 22-23, 2003; Munich, Germany >NIR spectroscopic measurement of local muscle metabolism during rhythmic, sustained and intermittent handgrip exercise
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NIR spectroscopic measurement of local muscle metabolism during rhythmic, sustained and intermittent handgrip exercise

机译:在节律性,持续性和间歇性握力运动中进行近红外光谱测量

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摘要

The aim of this study was to investigate local muscle oxygen consumption (mVO_2) during various protocols of isometric handgrip exercise. mVO_2 was measured by near-infrared spectroscopy (NIRS) during sustained, rhythmic, and intermittent isometric handgrip exercise. Whereas rhythmic handgrip exercise has the advantage that local muscle metabolism can be measured over the full range from low- to high-intensity work, the advantage of sustained handgrip exercise is that it is less prone to movement artifacts. Intermittent isometric handgrip exercise enables calculation of mVO_2 at short time intervals providing information about the time response of local oxygen consumption in relation to the onset of exercise. Ten healthy subjects participated in this study. The different protocols were performed on separate days and in random order. mVO_2 during rhythmic exercise was significantly higher than that during sustained exercise at all work intensities tested (P ≤ 0.05). However, the highest oxygen consumption value for the three exercise protocols was measured during the steady state of intermittent exercise (P ≤ 0.05). These results show that the measurement of task-specific muscle metabolism during exercise can be measured noninvasively and with relative ease by near-infrared spectroscopy.
机译:这项研究的目的是调查在等距手柄锻炼的各种协议期间的局部肌肉耗氧量(mVO_2)。在持续的,有节奏的和间歇性的等距手柄锻炼期间,通过近红外光谱(NIRS)测量mVO_2。有节奏的握力运动的优点是可以在低强度到高强度的整个工作范围内测量局部肌肉的新陈代谢,而持续握把运动的优点是不易产生运动伪影。间歇性等距手柄锻炼可在短时间间隔内计算mVO_2,从而提供有关局部氧消耗与锻炼开始有关的时间响应的信息。十名健康受试者参加了这项研究。不同的协议在不同的日期和随机顺序下执行。在所有测试强度下,有节奏运动期间的mVO_2均显着高于持续运动期间的mVO_2(P≤0.05)。但是,在间歇运动的稳定状态下测量了三种运动方案的最高耗氧量(P≤0.05)。这些结果表明,通过近红外光谱可以无创且相对容易地测量运动过程中特定任务的肌肉代谢。

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