Saengsuwan Jittima, Nef Tobias, Hunt Kenneth J
Institute for Rehabilitation and Performance Technology, Division of Mechanical Engineering, Department of Engineering and Information Technology, Bern University of Applied Sciences, Burgdorf, Switzerland.
ARTORG Center for Biomedical Engineering Research, Gerontechnology and Rehabilitation Research Group, University of Bern, Bern, Switzerland.
Clin Physiol Funct Imaging. 2017 Nov;37(6):610-614. doi: 10.1111/cpf.12344. Epub 2016 Jan 12.
Prediction of peak work rate (WRpeak) for incremental exercise testing (IET) is important to bring subjects to their maximal performance within the recommended 8-12 min. This study developed a novel method for prediction of WRpeak for IET on cycles and treadmills.
Peak metabolic equivalent of task (METpred) was predicted based on an existing non-exercise prediction formula, and then, predicted peak work rate (WRpred) was derived from separate formulae for the cycle and the treadmill. Eighteen healthy subjects were included.
In males, there was no difference between WRpred versus WRpeak for both the cycle ergometer (277·7 versus 275·6 W, P = 0·70) and the treadmill (264·1 versus 260·5, P = 0·58). In females, there was no difference between WRpred versus WRpeak for the cycle ergometer (187·1 versus 188·3 W, P = 0·90), but a significant difference was found between WRpred versus WRpeak on the treadmill (178·6 versus 151·9 W, P<0·05). For males, the mean absolute percentage errors for WRpred versus WRpeak were 4·6% and 5·7% for the cycle and treadmill, respectively. For females, the errors were 12·2% and 20·8%. The algorithm was successful in achieving the required duration of 8-12 min in 33 of 36 cases.
The peak work rate prediction protocol was accurate in male subjects for both the cycle and the treadmill. In female subjects, the method was accurate for the cycle, but systematically overpredicted the peak work rate on the treadmill. The protocol requires further adaptation for females on the treadmill.
预测递增运动试验(IET)的峰值工作率(WRpeak)对于在推荐的8 - 12分钟内使受试者达到最大运动表现非常重要。本研究开发了一种用于预测在自行车和跑步机上进行IET的WRpeak的新方法。
基于现有的非运动预测公式预测峰值代谢当量任务(METpred),然后根据自行车和跑步机的不同公式推导出预测峰值工作率(WRpred)。纳入了18名健康受试者。
在男性中,对于自行车测力计,WRpred与WRpeak之间无差异(277.7对275.6瓦,P = 0.70),对于跑步机,两者也无差异(264.1对260.5,P = 0.58)。在女性中,对于自行车测力计,WRpred与WRpeak之间无差异(187.1对188.3瓦,P = 0.90),但在跑步机上,WRpred与WRpeak之间存在显著差异(178.6对151.9瓦,P<0.05)。对于男性,WRpred与WRpeak的平均绝对百分比误差在自行车和跑步机上分别为4.6%和5.7%。对于女性,误差分别为12.2%和20.8%。该算法在36例中的33例成功实现了所需的8 - 12分钟时长。
峰值工作率预测方案在男性受试者中对于自行车和跑步机均准确。在女性受试者中,该方法对于自行车准确,但系统地高估了跑步机上的峰值工作率。该方案需要针对女性在跑步机上的情况进一步调整。