Artiga Gonzalez Alexander, Bertschinger Raphael, Brosda Fabian, Dahmen Thorsten, Thumm Patrick, Saupe Dietmar
Dept. of Computer and Information Science, University of Konstanz, Fach 697, 78457 Konstanz, Germany.
Sensorimotor Performance Lab, Department of Sport Science, University of Konstanz, 78457 Konstanz, Germany.
Hum Mov Sci. 2017 Sep 14. doi: 10.1016/j.humov.2017.08.020.
Measurements of oxygen uptake are central to methods for the assessment of physical fitness and endurance capabilities in athletes. Two important parameters extracted from such data of incremental exercise tests are the maximal oxygen uptake and the critical power. A commonly accepted model of the dynamics of oxygen uptake during exercise at a constant work rate comprises a constant baseline oxygen uptake, an exponential fast component, and another exponential slow component for heavy and severe work rates. We have generalized this model to variable load protocols with differential equations that naturally correspond to the standard model for a constant work rate. This provides the means for predicting the oxygen uptake response to variable load profiles including phases of recovery. The model parameters have been fitted for individual subjects from a cycle ergometer test, including the maximal oxygen uptake and critical power. The model predictions have been validated by data collected in separate tests. Our findings indicate that the oxygen kinetics for a variable exercise load can be predicted using the generalized mathematical standard model. Such models can be applied in the field where the constant work rate assumption generally is not valid.
摄氧量的测量是评估运动员身体素质和耐力能力方法的核心。从递增运动测试数据中提取的两个重要参数是最大摄氧量和临界功率。一个被广泛接受的在恒定工作率运动期间摄氧量动态变化的模型包括一个恒定的基线摄氧量、一个指数快速成分以及另一个针对重度和极重度工作率的指数缓慢成分。我们已经通过微分方程将这个模型推广到可变负荷方案，这些微分方程自然地对应于恒定工作率的标准模型。这提供了预测对包括恢复阶段在内的可变负荷曲线的摄氧量反应的方法。模型参数已根据个体受试者的自行车测力计测试进行拟合，包括最大摄氧量和临界功率。模型预测已通过在单独测试中收集的数据进行验证。我们的研究结果表明，使用广义数学标准模型可以预测可变运动负荷的氧动力学。此类模型可应用于恒定工作率假设通常无效的领域。
