Center for Research, Education, Innovation, and Intervention in Sport, Faculty of Sport, University of Porto, Porto, Portugal.
Shanghai SIPG Football Club, Shanghai, China.
J Strength Cond Res. 2018 Aug;32(8):2340-2347. doi: 10.1519/JSC.0000000000002057.
Silva, P, Santos, ED, Grishin, M, and Rocha, JM. Validity of heart rate-based indices to measure training load and intensity in elite football players. J Strength Cond Res 32(8): 2340-2347, 2018-This study aimed to identify the most sensible heart rate-based indices to physical measures of training load and intensity. Twenty professional football players competing in the Russian league and in the UEFA Champions League were monitored during 15 training sessions (270 individual records) using global positioning systems devices (10 Hz) and heart rate telemetry. Expert knowledge and a collinearity r < 0.5 were used initially to select the external physical markers for the final analysis. A multivariate-adjusted within-subjects model was used to quantify the correlations between heart rate indices with various measures of training intensity and load. The number of accelerations >2.5 m·s and the number of high-intensity bursts remained in the final multivariate model for training load. The adjusted correlations with Banister's training impulse (TRIMP) were r = 0.49 and r = 0.3, respectively. For training intensity, the same previous variables expressed as per minute plus the volume of high-speed running per minute remained in the final model. The adjusted correlations with the percentage of time spent above 80% of individual maximum heart rate (tHR80%) were, in the same order, r = 0.3, r = 0.22, and r = 0.18. The results of this study demonstrate the validity of TRIMP and tHR80% as measures of training load and intensity, respectively, and identified accelerations and high-intensity repeated efforts (high-intensity bursts) as being moderately predictive of heart rate responses.
席尔瓦、桑托斯、格里申和罗沙。心率指标在测量精英足球运动员训练负荷和强度方面的有效性。《力量与调节研究杂志》32（8）：2340-2347，2018-本研究旨在确定最敏感的心率指标，以反映训练负荷和强度的物理测量值。20 名参加俄罗斯联赛和欧洲冠军联赛的职业足球运动员在 15 次训练中（270 个个体记录）使用全球定位系统设备（10 Hz）和心率遥测进行监测。最初使用专业知识和共线性 r < 0.5 来选择最终分析的外部物理标记。使用多变量调整的个体内模型来量化心率指标与各种训练强度和负荷测量值之间的相关性。在最终的多变量模型中，加速度>2.5 m·s 的次数和高强度爆发的次数仍然与训练负荷有关。与巴尼斯特训练冲动（TRIMP）的调整相关性分别为 r = 0.49 和 r = 0.3。对于训练强度，每分钟的相同先前变量加上每分钟的高速跑量仍然保留在最终模型中。与个体最大心率（tHR80%）的 80%以上时间百分比的调整相关性，按相同顺序，r = 0.3，r = 0.22 和 r = 0.18。本研究的结果表明，TRIMP 和 tHR80% 分别作为训练负荷和强度的测量指标是有效的，并确定了加速度和高强度重复努力（高强度爆发）作为心率反应的中度预测指标。
