心率变异性:在利用移动健康技术进行健康与运动训练指导的时代,一个有新意义的古老指标。第二部分:预后与训练。

Heart Rate Variability: An Old Metric with New Meaning in the Era of Using mHealth technologies for Health and Exercise Training Guidance. Part Two: Prognosis and Training.

作者信息

Singh Nikhil, Moneghetti Kegan James, Christle Jeffrey Wilcox, Hadley David, Froelicher Victor, Plews Daniel

机构信息

Department of Medicine, Keck School of Medicine of University of Southern California Los Angeles, CA, USA.

Department of Medicine, St Vincent's Hospital, University of Melbourne Australia.

出版信息

Arrhythm Electrophysiol Rev. 2018 Dec;7(4):247-255. doi: 10.15420/aer.2018.30.2.

Abstract

It has been demonstrated that heart rate variability (HRV) is predictive of all-cause and cardiovascular mortality using clinical ECG recordings. This is true for rest, exercise and ambulatory HRV clinical ECG device recordings in prospective cohorts. Recently, there has been a rapid increase in the use of mobile health technologies (mHealth) and commercial wearable fitness devices. Most of these devices use ECG or photo-based plethysmography and both are validated for providing accurate heart rate measurements. This offers the opportunity to make risk information from HRV more widely available. The physiology of HRV and the available technology by which it can be assessed has been summarised in Part 1 of this review. In Part 2 the association between HRV and risk stratification is addressed by reviewing the current evidence from data acquired by resting ECG, exercise ECG and medical ambulatory devices. This is followed by a discussion of the use of HRV to guide the training of athletes and as a part of fitness programmes.

摘要

已经证明,使用临床心电图记录,心率变异性(HRV)可预测全因死亡率和心血管死亡率。在前瞻性队列中,静息、运动和动态HRV临床心电图设备记录均是如此。最近,移动健康技术(mHealth)和商业可穿戴健身设备的使用迅速增加。这些设备大多使用心电图或基于光电容积脉搏波描记法,两者均经过验证可提供准确的心率测量值。这为更广泛地提供来自HRV的风险信息提供了机会。本综述的第1部分总结了HRV的生理学以及可用于评估HRV的现有技术。在第2部分中,通过回顾静息心电图、运动心电图和医疗动态设备获取的数据的当前证据,探讨了HRV与风险分层之间的关联。随后讨论了使用HRV指导运动员训练以及作为健身计划的一部分。

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