Su Steven W, Wang Lu, Celler Branko G, Savkin Andrey V
Human Performance Group, Biomedical Systems Lab, School of Electrical Engineering & Telecommunications, University of New South Wales, Sydney, NSW 2052, Australia.
Ann Biomed Eng. 2007 Nov;35(11):1898-906. doi: 10.1007/s10439-007-9362-2. Epub 2007 Aug 9.
This paper aims to establish a block-structured model to predict oxygen uptake in humans during moderate treadmill exercises. To model the steady state relationship between oxygen uptake (oxygen consumption) and walking speed, six healthy male subjects walked on a motor driven treadmill with constant speed from 2 to 7 km/h. The averaged oxygen uptake at steady state (VO (2)) was measured by a mixing chamber based gas analysis and ventilation measurement system (AEI Moxus Metabolic Cart). Based on these reliable date, a nonlinear steady state relationship was successfully established using Support Vector Regression methods. In order to capture the dynamics of oxygen uptake, the treadmill velocity was modulated using a Pseudo Random Binary Signal (PRBS) input. Breath by breath analysis of all subjects was performed. An ARX model was developed to accurately reproduce the measured oxygen uptake dynamics within the aerobic range. Finally, a Hammerstein model was developed, which may be useful for implementing a control system for the regulation of oxygen uptake during treadmill exercises.
本文旨在建立一个块结构模型，以预测人类在中等强度跑步机运动期间的摄氧量。为了模拟摄氧量（耗氧量）与步行速度之间的稳态关系，六名健康男性受试者在电动跑步机上以2至7公里/小时的恒定速度行走。通过基于混合室的气体分析和通气测量系统（AEI Moxus代谢分析仪）测量稳态下的平均摄氧量（VO₂）。基于这些可靠数据，使用支持向量回归方法成功建立了非线性稳态关系。为了捕捉摄氧量的动态变化，使用伪随机二进制信号（PRBS）输入对跑步机速度进行调制。对所有受试者进行逐次呼吸分析。开发了一个自回归外生（ARX）模型，以准确再现有氧范围内测得的摄氧量动态变化。最后，开发了一个哈默斯坦模型，该模型可能有助于实现一个用于调节跑步机运动期间摄氧量的控制系统。
