Szczegielniak Jan, Latawiec Krzysztof J, Łuniewski Jacek, Stanisławski Rafał, Bogacz Katarzyna, Krajczy Marcin, Rydel Marek
Department of Physical Education and Physiotherapy, Opole University of Technology, Opole, Poland.
Department of Electrical, Control and Computer Engineering, Opole University of Technology, Opole, Poland.
PLoS One. 2018 Feb 9;13(2):e0191875. doi: 10.1371/journal.pone.0191875. eCollection 2018.
The six-minute walk test (6MWT) is considered to be a simple and inexpensive tool for the assessment of functional tolerance of submaximal effort. The aim of this work was 1) to background the nonlinear nature of the energy expenditure process due to physical activity, 2) to compare the results/scores of the submaximal treadmill exercise test and those of 6MWT in pulmonary patients and 3) to develop nonlinear mathematical models relating the two.
The study group included patients with the COPD. All patients were subjected to a submaximal exercise test and a 6MWT. To develop an optimal mathematical solution and compare the results of the exercise test and the 6MWT, the least squares and genetic algorithms were employed to estimate parameters of polynomial expansion and piecewise linear models.
Mathematical analysis enabled to construct nonlinear models for estimating the MET result of submaximal exercise test based on average walk velocity (or distance) in the 6MWT.
Submaximal effort tolerance in COPD patients can be effectively estimated from new, rehabilitation-oriented, nonlinear models based on the generalized MET concept and the 6MWT.
六分钟步行试验（6MWT）被认为是一种用于评估次极量运动功能耐力的简单且低成本的工具。本研究的目的是：1）阐述体力活动导致的能量消耗过程的非线性本质；2）比较肺部疾病患者次极量平板运动试验和6MWT的结果/得分；3）建立将两者关联起来的非线性数学模型。
研究组包括慢性阻塞性肺疾病（COPD）患者。所有患者均接受次极量运动试验和6MWT。为了得出最优数学解并比较运动试验和6MWT的结果，采用最小二乘法和遗传算法来估计多项式展开模型和分段线性模型的参数。
数学分析能够构建非线性模型，基于6MWT中的平均步行速度（或距离）来估计次极量运动试验的代谢当量（MET）结果。
基于广义的MET概念和6MWT，可从新的、以康复为导向的非线性模型有效估计COPD患者的次极量运动耐力。
