Can a first-order exponential decay model fit heart rate recovery after resistance exercise?
Can a first-order exponential decay model fit heart rate recovery after resistance exercise?
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DOI：
10.1111/cpf.12132
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发表时间：
2015-03-01
影响因子：
1.8
通讯作者：
Pecanha, Tiago
中科院分区：
文献类型：
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作者：
Bartels-Ferreira, Rhenan;de Sousa, Elder D.;Pecanha, Tiago
用一阶指数拟合法拟合心率衰减曲线，得到运动后心率恢复时间常数，用于评价耐力运动后心脏自主神经恢复情况。该模型的可行性未在阻力运动(RE)后进行检验。本研究的目的是检验一阶指数衰减模型对心脏术后心率恢复(HRR)的拟合优度。10名健康受试者参与了这项研究。实验过程分两天进行，每组10次，每次重复最大负荷的50%或80%[分别为低强度(LI)和高强度(HI)]。连续记录运动前、运动中及运动后10min的心率(HR)。采用单指数方程拟合运动后不同时间窗(30、60、90、...600s)的心率变异性曲线。对于每个时间窗，(I)计算HRR，并评估(Ii)模型所解释的HR的变化(R-2拟合优度指数)。在LI和HI上，HRR分别稳定在360秒和420秒。在LI(R-2和GT；0.65)上从360年代开始观察到可接受的R-2值，在HI(R-2和GT；0.75)上的所有测试时间窗口都观察到可接受的R-2值。总而言之，这项研究表明，使用最短的监测长度(类似于420s)可以用一阶指数拟合来充分模拟RE后的HRR。
The time-constant of postexercise heart rate recovery (HRR) obtained by fitting heart rate decay curve by a first-order exponential fitting has being used to assess cardiac autonomic recovery after endurance exercise. The feasibility of this model was not tested after resistance exercise (RE). The aim of this study was to test the goodness of fit of the first-order exponential decay model to fit heart rate recovery (HRR) after RE. Ten healthy subjects participated in the study. The experimental sessions occurred in two separated days and consisted of performance of 1 set of 10 repetitions at 50% or 80% of the load achieved on the one-repetition maximum test [low-intensity (LI) and high-intensity (HI) sessions, respectively]. Heart rate (HR) was continuously registered before and during exercise and also for 10min of recovery. A monoexponential equation was used to fit the HRR curve during the postexercise period using different time windows (i.e. 30, 60, 90, ... 600s). For each time window, (i) HRR was calculated and (ii) variation of HR explained by the model (R-2 goodness of fit index) was assessed. The HRR showed stabilization from 360 and 420s on LI and HI, respectively. Acceptable R-2 values were observed from the 360s on LI (R-2>0.65) and at all tested time windows on HI (R-2>0.75). In conclusion, this study showed that using a minimum length of monitoring (similar to 420s) HRR after RE can be adequately modelled by a first-order exponential fitting.