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无创性光学定量测定运动骨骼肌的绝对血流、血氧和耗氧量。

Noninvasive optical quantification of absolute blood flow, blood oxygenation, and oxygen consumption rate in exercising skeletal muscle.

机构信息

University of Kentucky, Center for Biomedical Engineering, Lexington, Kentucky 40506, USA.

出版信息

J Biomed Opt. 2012 Jul;17(7):075010. doi: 10.1117/1.JBO.17.7.075010.

Abstract

This study investigates a method using novel hybrid diffuse optical spectroscopies [near-infrared spectroscopy (NIRS) and diffuse correlation spectroscopy (DCS)] to obtain continuous, noninvasive measurement of absolute blood flow (BF), blood oxygenation, and oxygen consumption rate (V̇O(2)) in exercising skeletal muscle. Healthy subjects (n=9) performed a handgrip exercise to increase BF and V̇O(2) in forearm flexor muscles, while a hybrid optical probe on the skin surface directly monitored oxy-, deoxy-, and total hemoglobin concentrations ([HbO(2)], [Hb], and THC), tissue oxygen saturation (S(t)O(2)), relative BF (rBF), and relative oxygen consumption rate (rV̇O(2)). The rBF and rV̇O(2) signals were calibrated with absolute baseline BF and V̇O(2) obtained through venous and arterial occlusions, respectively. Known problems with muscle-fiber motion artifacts in optical measurements during exercise were mitigated using a novel gating algorithm that determined muscle contraction status based on control signals from a dynamometer. Results were consistent with previous findings in the literature. This study supports the application of NIRS/DCS technology to quantitatively evaluate hemodynamic and metabolic parameters in exercising skeletal muscle and holds promise for improving diagnosis and treatment evaluation for patients suffering from diseases affecting skeletal muscle and advancing fundamental understanding of muscle and exercise physiology.

摘要

本研究探索了一种使用新型混合扩散光学光谱技术[近红外光谱(NIRS)和扩散相关光谱(DCS)]来连续、无创地测量运动骨骼肌中的绝对血流(BF)、血氧和耗氧量(V̇O(2))的方法。健康受试者(n=9)进行握力运动以增加前臂屈肌的 BF 和 V̇O(2),而皮肤表面的混合光学探头则直接监测氧合、脱氧和总血红蛋白浓度([HbO(2)]、[Hb]和 THC)、组织氧饱和度 (S(t)O(2))、相对 BF (rBF) 和相对耗氧量 (rV̇O(2))。rBF 和 rV̇O(2)信号通过静脉和动脉闭塞分别用绝对基线 BF 和 V̇O(2)进行校准。使用一种新的门控算法来减轻运动期间光学测量中肌肉纤维运动伪影的已知问题,该算法根据来自测力计的控制信号来确定肌肉收缩状态。结果与文献中的先前发现一致。本研究支持将 NIRS/DCS 技术应用于定量评估运动骨骼肌中的血液动力学和代谢参数,并有望改善影响骨骼肌的疾病的诊断和治疗评估,以及推进对肌肉和运动生理学的基本理解。

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