Graduate School of Information Science and Technology, Hokkaido University, Sapporo 060-0814, Japan.
Adv Exp Med Biol. 2010;662:199-204. doi: 10.1007/978-1-4419-1241-1_28.
Near-infrared spectroscopy (NIRS) enables noninvasive measurement of muscle oxygenation. However, since NIRS does not enable direct measurement of muscle metabolism, it is necessary to analyze the dynamic changes in metabolism during exercise using other methods in order to understand the relationship between NIRS measurements and muscle metabolism. A model of muscle metabolism that is composed of aerobic and anaerobic metabolic systems and O(2) transport to tissue system was developed. Using the model, the temporal profiles of muscle oxygenation during exercise with different intensities (20, 40 and 70% maximum voluntary contraction), measured using NIRS in a single subject, were sufficiently reproduced. In addition, analyses of simulation results of (i) aerobic and anaerobic metabolic systems and (ii) O(2) consumption were performed, and the intensity-dependent differences in the temporal responses during exercise and recovery periods were estimated. The initial results show the usefulness of the model for simulating the kinetics of NIRS measurement data and for systematic interpretation of the relationship between NIRS data and muscle metabolism.
近红外光谱（NIRS）可实现对肌肉氧合作用的非侵入式测量。然而，由于 NIRS 无法直接测量肌肉代谢，因此有必要使用其他方法分析运动过程中代谢的动态变化，以了解 NIRS 测量值与肌肉代谢之间的关系。本文建立了一个由有氧和无氧代谢系统以及 O2 向组织输送系统组成的肌肉代谢模型。利用该模型，成功再现了单个体在不同强度（20%、40%和 70%最大随意收缩）运动时使用 NIRS 测量的肌肉氧合作用的时间分布。此外，还对（i）有氧和无氧代谢系统以及（ii）O2 消耗的模拟结果进行了分析，并估计了运动和恢复期的时间响应的强度依赖性差异。初步结果表明，该模型可用于模拟 NIRS 测量数据的动力学，并对 NIRS 数据与肌肉代谢之间的关系进行系统解释。
