Marocolo M, Nadal J, Benchimol Barbosa P R
Programa de Engenharia Biomédica, Coordenação dos Programas de Pós-graduação de Engenharia, Universidade Federal do Rio de Janeiro, Rua de Pompeu Loueiro 36/702, 22061-000 Rio de Janeiro, RJ, Brazil.
Braz J Med Biol Res. 2007 Feb;40(2):199-208. doi: 10.1590/s0100-879x2007000200006.
Increased heart rate variability (HRV) and high-frequency content of the terminal region of the ventricular activation of signal-averaged ECG (SAECG) have been reported in athletes. The present study investigates HRV and SAECG parameters as predictors of maximal aerobic power (VO2max) in athletes. HRV, SAECG and VO2max were determined in 18 high-performance long-distance (25 +/- 6 years; 17 males) runners 24 h after a training session. Clinical visits, ECG and VO2max determination were scheduled for all athletes during the training period. A group of 18 untrained healthy volunteers matched for age, gender, and body surface area was included as controls. SAECG was acquired in the resting supine position for 15 min and processed to extract average RR interval (Mean-RR) and root mean squared standard deviation (RMSSD) of the difference of two consecutive normal RR intervals. SAECG variables analyzed in the vector magnitude with 40-250 Hz band-pass bi-directional filtering were: total and 40-microV terminal (LAS40) duration of ventricular activation, RMS voltage of total (RMST) and of the 40-ms terminal region of ventricular activation. Linear and multivariate stepwise logistic regressions oriented by inter-group comparisons were adjusted in significant variables in order to predict VO2max, with a P < 0.05 considered to be significant. VO2max correlated significantly (P < 0.05) with RMST (r = 0.77), Mean-RR (r = 0.62), RMSSD (r = 0.47), and LAS40 (r = -0.39). RMST was the independent predictor of VO2max. In athletes, HRV and high-frequency components of the SAECG correlate with VO2max and the high-frequency content of SAECG is an independent predictor of VO2max.
据报道，运动员的心率变异性（HRV）增加，且信号平均心电图（SAECG）心室激活终末区域的高频成分增加。本研究调查了HRV和SAECG参数作为运动员最大有氧功率（VO2max）预测指标的情况。在18名高水平长跑运动员（25±6岁；17名男性）训练后24小时测定了HRV、SAECG和VO2max。在训练期间为所有运动员安排了临床检查、心电图检查和VO2max测定。纳入了一组18名年龄、性别和体表面积匹配的未经训练的健康志愿者作为对照。在静息仰卧位采集SAECG 15分钟，并进行处理以提取两个连续正常RR间期差值的平均RR间期（Mean-RR）和均方根标准差（RMSSD）。在40-250Hz带通双向滤波的向量幅度中分析的SAECG变量包括：心室激活的总时长和40微伏终末（LAS40）时长、总RMS电压（RMST）以及心室激活40毫秒终末区域的RMS电压。通过组间比较进行的线性和多变量逐步逻辑回归对显著变量进行了调整，以预测VO2max，P<0.05被认为具有显著性。VO2max与RMST（r = 0.77）、Mean-RR（r = 0.62）、RMSSD（r = 0.47）和LAS40（r = -0.39）显著相关（P<0.05）。RMST是VO2max的独立预测指标。在运动员中，HRV和SAECG的高频成分与VO2max相关，且SAECG的高频成分是VO2max的独立预测指标。
