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团队运动中的心率监测——用于训练和恢复处方的心率测量情境化概念框架

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

作者信息

Schneider Christoph, Hanakam Florian, Wiewelhove Thimo, Döweling Alexander, Kellmann Michael, Meyer Tim, Pfeiffer Mark, Ferrauti Alexander

机构信息

Faculty of Sport Science, Ruhr-University Bochum, Bochum, Germany.

School of Human Movement and Nutrition Sciences, The University of Queensland, St. Lucia, QLD, Australia.

出版信息

Front Physiol. 2018 May 31;9:639. doi: 10.3389/fphys.2018.00639. eCollection 2018.

Abstract

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.

摘要

全面监测体能、疲劳和表现对于了解运动员对训练的个体反应以优化训练安排和恢复策略至关重要。近几十年来,静息心率和运动相关心率测量越来越受到关注,并且在多变量反应监测中被认为具有潜在用途,因为它们能提供关于自主神经系统(ANS)状态和有氧体能的非侵入性且高效的见解。在团队运动中,由于比赛需求、球员和团队表现的复杂多维结构以及后勤方面的原因,如球员数量通常较多且训练和比赛日程繁忙,实施运动员监测系统面临特殊挑战。在这方面,运动相关心率测量可能是最适用的指标,因为使用基于胸带的常见团队监测设备,通过短时间(3 - 5分钟)次最大运动方案,在整个球队进行热身时就可以常规评估心率。然而,对训练过程进行全面且有意义的监测需要准确区分各种类型的反应,如应激、恢复和适应,这些都可能影响心率测量。因此,在解释心率指标变化时,应考虑结合训练背景的额外信息(如训练阶段、训练负荷和强度分布)以及多变量分析,多变量分析包括(感知到的)健康和疲劳指标。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量,说明不同分析概念对评估心率反应中有意义变化的影响,并提供使用简单启发式方法将心率测量置于具体情境的案例。为克服当前的知识不足和方法不一致问题,未来的研究应系统评估现有各种方法的有效性和实用性,以指导和改进(团队)运动实践中决策支持系统的实施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e9d/5990631/c62231043a3c/fphys-09-00639-g0001.jpg

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