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首页> 外文期刊>Journal of applied physiology >Diffuse correlation spectroscopy and frequency-domain near-infrared spectroscopy for measuring microvascular blood flow in dynamically exercising human muscles
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Diffuse correlation spectroscopy and frequency-domain near-infrared spectroscopy for measuring microvascular blood flow in dynamically exercising human muscles

机译：漫反谱和频域近红外光谱法测量人体肌肉动态锻炼微血管血流

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In the last 20 yr. near-infrared diffuse correlation spectroscopy (DCS) has been developed for providing a noninvasive estimate of microvascular blood flow (BF) as a BF index (BFi) in the human skin. muscle. breast, brain, and other tissue types. In this study, we proposed a new motion correction algorithm for DCS-derived BFi able to remove motion artifacts during cycling exercise. We tested this algorithm on DCS data collected during cycling exercise and demonstrated that DCS can be used to quantify muscle BFi during dynamic high-intensity exercise. In addition, we measured tissue regional oxygen metabolic rate (MRO2i) by combining frequency-domain multidistance near-infrared spectroscopy (FDNIRS) oximetry with DCS flow measures. Recreationally active subjects (n = 12; 31 +/- 8 yr, 183 +/- 4 cm, 79 +/- 10 kg) pedaled at 80-100 revolutions/min until volitional fatigue with a work rate increase of 30 W every 4 min. Exercise intensity was normalized in each subject to the cycling power peak (W-peak). Both rectus femoris BFi and MRO2i increased from 15% up to 75% W-peak and then plateaued to the end of the exercise. During the recovery at 30 W cycling power. BFi remained almost constant, whereas MRO2i started to decrease. The BFi/MRO2i plateau was associated with the rising of the lactate concentration. indicating the progressive involvement of the anaerobic metabolism. These findings further highlight the utility of DCS and FDNIRS oximetry as effective, reproducible, and noninvasive techniques to assess muscle BFi and MRO2i in real time during a dynamic exercise such as cycling.
机译：在过去的20年里。已经开发了近红外漫射相关光谱（DCS），用于在人体皮肤中提供非血管血流（BF）作为BF指数（BFI）的非侵入性估计。肌肉。乳腺，脑和其他组织类型。在这项研究中，我们提出了一种新的运动校正算法，用于DCS衍生的BFI，能够在循环运动期间去除运动伪影。我们在循环运动期间收集的DCS数据测试了该算法，并证明了DC可用于在动态高强度运动期间量化肌肉BFI。此外，通过将频域多级近红外光谱（FDNIR）血氧血管与DCS流量测量组合来测量组织区域氧代谢率（MRO2I）。娱乐主体（n = 12; 31 +/- 8 YR，183 +/- 4厘米，79 +/- 10千克）在80-100转/分钟中踩踏，直至从工作速度增加了每4倍的加速疲劳闵。运动强度在每个受循环功率峰值（W峰）的受影响中归一化。直肠股骨BFI和MRO2I都从15％增加到75％的W峰值，然后调节到锻炼的末尾。在30 W循环力量的恢复过程中。 BFI仍然是常数，而Mro2i开始减少。 BFI / MRO2I高原与乳酸浓度的上升有关。表明厌氧代谢的逐步累及。这些发现进一步突出了DCS和FDNIRS血氧icRY的实用性，作为有效，可重复和非侵入性的技术，以在诸如循环的动态运动期间实时评估肌肉BFI和MRO2I。

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