L-3/Jaycor, 10770 Wateridge Circle, Suite 200, San Diego, CA, USA.
Eur J Appl Physiol. 2012 Apr;112(4):1229-49. doi: 10.1007/s00421-011-2062-5. Epub 2011 Jul 19.
The performance dynamic physiology model (DPM-PE) integrates a modified muscle fatigue model with an exercise physiology model that calculates the transport and delivery of oxygen to working muscles during exposures of oxygen-limiting environments. This mathematical model implements a number of physiologic processes (respiration, circulation, tissue metabolism, diffusion-limited gas transfer at the blood/gas lung interface, and ventilatory control with afferent feedback, central command and humoral chemoreceptor feedback) to replicate the three phases of ventilatory response to a variety of exertion patterns, predict the delivery and transport of oxygen and carbon dioxide from the lungs to tissues, and calculate the amount of aerobic and anaerobic work performed. The ventilatory patterns from passive leg movement, unloaded work, and stepped and ramping loaded work compare well against data. The model also compares well against steady-state ventilation, cardiac output, blood oxygen levels, oxygen consumption, and carbon dioxide generation against a range of exertion levels at sea level and at altitude, thus demonstrating the range of applicability of the exercise model. With the ability to understand and predict gas transport and delivery of oxygen to working muscle tissue for different workloads and environments, the correlation between blood oxygen measures and the recovery factor of the muscle fatigue model was explored. Endurance data sets in normoxia and hypoxia were best replicated using arterial oxygen saturation as the correlate with the recovery factor. This model provides a physiologically based method for predicting physical performance decrement due to oxygen-limiting environments.
性能动态生理学模型 (DPM-PE) 将改良的肌肉疲劳模型与运动生理学模型相结合,该模型计算在限制氧气环境下暴露时氧气向工作肌肉的输送和传递。这个数学模型实现了许多生理过程(呼吸、循环、组织代谢、血液/气体肺部界面的扩散限制气体转移以及带有传入反馈的通气控制、中央命令和体液化学感受器反馈),以复制各种运动模式下的通气反应的三个阶段,预测氧气和二氧化碳从肺部输送和运输到组织,并计算有氧和无氧工作的量。被动腿部运动、空载工作和台阶式和斜坡式加载工作的通气模式与数据非常吻合。该模型还与海平面和高海拔的各种运动水平的稳定状态通气、心输出量、血氧水平、耗氧量和二氧化碳生成进行了很好的比较,从而展示了运动模型的适用范围。由于能够理解和预测不同工作量和环境下的气体输送和氧气向工作肌肉组织的输送,因此研究了血氧测量值与肌肉疲劳模型的恢复因子之间的相关性。在常氧和低氧条件下,耐力数据集使用动脉血氧饱和度作为与恢复因子相关的指标进行了最佳复制。该模型提供了一种基于生理学的方法,可预测由于氧气限制环境而导致的身体机能下降。