Methodological approach to assess cardiovascular dynamics in elite cyclists

IF 1.6 Q2 MULTIDISCIPLINARY SCIENCES

MethodsX Pub Date : 2025-07-16 DOI:10.1016/j.mex.2025.103515

Manuel Mateo-March, Alejandro Javaloyes, Iván Peña-González, Manuel Moya-Ramón

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Abstract

This study introduces a novel time-series method to optimize performance in professional cycling, analyzing cardiovascular reactivity and power output in elite cyclists during monument races. Integrating power meter and heart rate data, we derive critical power (CP), assess effort intensity (% CP), and track heart rate dynamics across race quartiles (Q1, Q2, Q3, Q4), revealing heart rate dynamics in elite cyclist. Preliminary testing of this method showed that Top 10 cyclists show significantly higher heart rate increase rates in Q1 (p < 0.05) and greater heart rate modulation in Q1 and Q3 (p < 0.05) than non-top cyclists (Top 11–30), indicating superior cardiovascular responsiveness. Key features include:

• Thorough raw data preprocessing for reliability.

• Power output normalization to CP for consistent assessment.

• Sigmoid modeling of heart rate rise to gauge cardiovascular reactivity.

This R-based, reproducible method empowers sports scientists and coaches to boost cyclist performance, with potential use in other endurance sports.

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评估优秀自行车运动员心血管动力学的方法学方法

本研究引入一种新的时间序列方法来优化职业自行车比赛的表现，分析精英自行车手在纪念碑比赛中的心血管反应性和功率输出。结合功率计和心率数据，我们得出了临界功率（CP），评估了努力强度（% CP），并跟踪了比赛四分位数（Q1, Q2, Q3, Q4）的心率动态，揭示了精英自行车运动员的心率动态。该方法的初步测试表明，排名前10的自行车运动员在第一季度的心率增加率明显更高(p <；0.05)， Q1和Q3心率调节增强(p <；0.05)，表明心血管反应性优于非前11-30名。主要特点包括：•彻底的原始数据预处理的可靠性。•功率输出归一化到CP以进行一致性评估。•s型模型的心率上升，以衡量心血管反应。这种基于r的可重复的方法使运动科学家和教练能够提高自行车手的表现，并有可能在其他耐力运动中使用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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