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In the last 20 years, near-infrared diffuse correlation spectroscopy (DCS) has been developed for providing a noninvasive estimate of microvascular blood flow (BF) as a BF index (BF) in the human skin, muscle, breast, brain and other tissue types. In this study, we proposed a new motion correction algorithm for DCS-derived BF able to remove motion artifacts occurring during dynamic muscle exercises. We tested this algorithm on DCS data collected during cycling exercise, and demonstrated that DCS can be used to quantify muscle BF during dynamic high-intensity exercise. In addition, we measured tissue regional oxygen metabolic rate (MRO) by combining frequency-domain multi-distance near-infrared spectroscopy (FDNIRS) oximetry with DCS flow measures. Twelve recreationally active subjects (31 ± 8 yr, 183 ± 4 cm, 79 ± 10 kg) pedaled at 80-100 rpm 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). Both rectus femoris BF and MRO increased from 15% up to 75% W and then plateaued to the end of the exercise. During the recovery at 30 W cycling power, BF remained almost constant while MRO started to decrease. The BF /MRO 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 an effective, reproducible, and noninvasive technique to assess muscle BF and MRO in real-time during a dynamic exercise such as cycling.
This article was published in the following journal.
Name: Journal of applied physiology (Bethesda, Md. : 1985)
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