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Heart Rate Monitoring in Team Sports—A Conceptual Framework for Contextualizing Heart Rate Measures for Training and Recovery Prescription

机译:团队运动中的心率监测—用于训练和恢复处方的心率测量值上下文化的概念框架

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摘要

A comprehensive monitoring of fitness, fatigue, and performance is crucial for understanding an athlete's individual responses to training to optimize the scheduling of training and recovery strategies. Resting and exercise-related heart rate measures have received growing interest in recent decades and are considered potentially useful within multivariate response monitoring, as they provide non-invasive and time-efficient insights into the status of the autonomic nervous system (ANS) and aerobic fitness. In team sports, the practical implementation of athlete monitoring systems poses a particular challenge due to the complex and multidimensional structure of game demands and player and team performance, as well as logistic reasons, such as the typically large number of players and busy training and competition schedules. In this regard, exercise-related heart rate measures are likely the most applicable markers, as they can be routinely assessed during warm-ups using short (3–5 min) submaximal exercise protocols for an entire squad with common chest strap-based team monitoring devices. However, a comprehensive and meaningful monitoring of the training process requires the accurate separation of various types of responses, such as strain, recovery, and adaptation, which may all affect heart rate measures. Therefore, additional information on the training context (such as the training phase, training load, and intensity distribution) combined with multivariate analysis, which includes markers of (perceived) wellness and fatigue, should be considered when interpreting changes in heart rate indices. The aim of this article is to outline current limitations of heart rate monitoring, discuss methodological considerations of univariate and multivariate approaches, illustrate the influence of different analytical concepts on assessing meaningful changes in heart rate responses, and provide case examples for contextualizing heart rate measures using simple heuristics. To overcome current knowledge deficits and methodological inconsistencies, future investigations should systematically evaluate the validity and usefulness of the various approaches available to guide and improve the implementation of decision-support systems in (team) sports practice.
机译:对健身,疲劳和表现的全面监控对于理解运动员对训练的个人反应以优化训练和恢复策略的计划至关重要。与休息和运动有关的心率测量在最近几十年中受到越来越多的关注,并被认为在多变量反应监测中可能有用,因为它们可提供无创且省时的洞察自主神经系统(ANS)和有氧健身状态的信息。在团队运动中,由于比赛需求,球员和团队表现的复杂和多维结构,以及后勤原因,例如通常人数众多的球员以及繁忙的训练和比赛,运动员监控系统的实际实施提出了特殊的挑战。时间表。在这方面,与运动有关的心率测量值可能是最适用的指标,因为在整个热身期间,可以对整个班级进行短时间(3-5分钟)次最大运动方案的常规评估,并使用基于胸带的常见团队进行监测设备。但是,对训练过程进行全面而有意义的监控需要准确区分各种类型的反应,例如劳损,恢复和适应,这都可能影响心率测量。因此,在解释心率指数的变化时,应考虑有关训练背景的其他信息(例如训练阶段,训练负荷和强度分布)以及多变量分析,其中包括(感知)健康和疲劳的标志。本文的目的是概述心率监测的当前局限性,讨论单变量和多变量方法的方法学考虑,阐明不同分析概念对评估心率反应的有意义变化的影响,并提供案例示例,以使用简单的启发式。为了克服当前的知识缺陷和方法上的矛盾,未来的研究应系统地评估各种指导和改进(团队)体育实践中决策支持系统的实施方法的有效性和实用性。

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