Department of Exercise Physiology, Institute of Exercise Training and Sport Informatics, German Sport University Cologne, Am Sportpark Müngersdorf 6, 50933, Cologne, Germany.
Geriatric Medicine, Department for Health Services Research, School of Medicine and Health Sciences, Carl Von Ossietzky University Oldenburg, Ammerlaender Heerstr.140, 26129, Oldenburg, Germany.
Eur J Appl Physiol. 2022 Mar;122(3):717-726. doi: 10.1007/s00421-021-04878-z. Epub 2021 Dec 28.
Kinetics of cardiorespiratory parameters (CRP) in response to work rate (WR) changes are evaluated by pseudo-random binary sequences (PRBS testing). In this study, two algorithms were applied to convert responses from PRBS testing into appropriate impulse responses to predict steady states values and responses to incremental increases in exercise intensity.
13 individuals (age: 41 ± 9 years, BMI: 23.8 ± 3.7 kg m), completing an exercise test protocol, comprising a section of randomized changes of 30 W and 80 W (PRBS), two phases of constant WR at 30 W and 80 W and incremental WR until subjective fatigue, were included in the analysis. Ventilation ([Formula: see text]), O uptake ([Formula: see text]), CO output ([Formula: see text]) and heart rate (HR) were monitored. Impulse responses were calculated in the time domain and in the frequency domain from the cross-correlations of WR and the respective CRP.
The algorithm in the time domain allows better prediction for [Formula: see text] and [Formula: see text], whereas for [Formula: see text] and HR the results were similar for both algorithms. Best predictions were found for [Formula: see text] and HR with higher (3-4%) 30 W steady states and lower (1-4%) values for 80 W. Tendencies were found in the residuals between predicted and measured data.
The CRP kinetics, resulting from PRBS testing, are qualified to assess steady states within the applied WR range. Below the ventilatory threshold, [Formula: see text] and HR responses to incrementally increasing exercise intensities can be sufficiently predicted.
通过伪随机二进制序列(PRBS 测试)评估心肺参数(CRP)对工作率(WR)变化的动力学。在这项研究中,应用了两种算法将 PRBS 测试的响应转换为适当的脉冲响应,以预测稳态值和对运动强度递增的响应。
13 名个体(年龄:41±9 岁,BMI:23.8±3.7kg/m2)完成了一项运动测试方案,包括随机改变 30W 和 80W(PRBS)的部分、30W 和 80W 恒定 WR 的两个阶段以及直到主观疲劳的递增 WR。监测通气量 ([Formula: see text])、O 摄取量 ([Formula: see text])、CO 输出量 ([Formula: see text]) 和心率 (HR)。在时域和频域中,通过 WR 和相应 CRP 的互相关计算了脉冲响应。
时域算法更适合预测 [Formula: see text] 和 [Formula: see text],而对于 [Formula: see text] 和 HR,两种算法的结果相似。对于 30W 的稳态,预测值比实际值高(3-4%),而对于 80W 的稳态,预测值比实际值低(1-4%),预测值的表现最佳。在预测数据和实测数据之间的残差中发现了趋势。
PRBS 测试产生的 CRP 动力学可用于评估应用 WR 范围内的稳态。在呼吸阈以下,可充分预测 [Formula: see text] 和 HR 对递增运动强度的响应。