已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Heart rate monitoring during training and competition in cyclists

作者
Asker E. Jeukendrup,Adrie Van Diemen
出处
期刊:Journal of Sports Sciences [Taylor & Francis]
卷期号:16 (sup1): 91-99 被引量:213
标识
DOI:10.1080/026404198366722
摘要

To obtain optimal training effects and avoid overtraining, it is necessary to monitor the intensity of training. In cycling, speed is not an accurate indicator of exercise intensity, and therefore alternatives have to be found to monitor exercise intensity during training and competition. Power output may be the most direct indicator, but heart rate is easier to monitor and measure. There are, however, limitations that have to be taken into account when using a heart rate monitor. For example, the position on the bicycle may change heart rate at a given exercise intensity. More important, however, is the increase in heart rate over time, a phenomenon described as 'cardiac drift'. Cardiac drift can change the heart rate-power output relationship drastically, especially in hot environments or at altitude. It is important to determine whether one is interested in monitoring exercise intensity per se or measuring whole-body stress. Power output may be a better indicator of the former and heart rate may, under many conditions, be a better indicator of the latter. Heart rate can be used to evaluate a cyclist after training or competition, or to determine the exercise intensity during training. Heart rate monitoring is very useful in the detection of early overtraining, especially in combination with lactate curves and questionnaires. During overtraining, maximal heart rates as well as submaximal heart rates may be decreased, while resting and, in particular, sleeping - heart rates may be increased.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
CodeCraft应助时衍采纳,获得10
1秒前
angle发布了新的文献求助10
2秒前
虚拟的清炎完成签到 ,获得积分10
2秒前
cchi发布了新的文献求助10
2秒前
zhaochenyu完成签到,获得积分10
4秒前
Zhang完成签到 ,获得积分10
4秒前
科研通AI2S应助科研牛马采纳,获得10
5秒前
Owen应助pwww采纳,获得10
5秒前
ezekiet完成签到 ,获得积分10
13秒前
zoiny完成签到 ,获得积分10
13秒前
13秒前
13秒前
慕青应助Huang采纳,获得10
14秒前
cdercder应助baozeNG采纳,获得10
15秒前
十一完成签到,获得积分10
16秒前
ACCEPT发布了新的文献求助30
16秒前
感性的梦露完成签到,获得积分10
16秒前
ksp完成签到 ,获得积分10
17秒前
思源应助stupid采纳,获得10
18秒前
爆米花应助泽mao采纳,获得10
18秒前
GG完成签到,获得积分10
18秒前
19秒前
hah发布了新的文献求助10
19秒前
sss完成签到 ,获得积分10
20秒前
22秒前
Chuning发布了新的文献求助10
22秒前
任润完成签到,获得积分10
22秒前
23秒前
吧唧嘴吧发布了新的文献求助20
26秒前
27秒前
Li发布了新的文献求助10
27秒前
大模型应助叶子采纳,获得10
29秒前
29秒前
29秒前
30秒前
辽东浅墨完成签到,获得积分10
31秒前
ningwu完成签到,获得积分0
31秒前
炙热慕灵完成签到,获得积分20
32秒前
cdercder应助baozeNG采纳,获得10
32秒前
烟雨江南发布了新的文献求助10
32秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 2030
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7577771
求助须知:如何正确求助?哪些是违规求助? 9157492
关于积分的说明 19591411
捐赠科研通 7161485
什么是DOI,文献DOI怎么找? 3265416
关于科研通互助平台的介绍 2430339
邀请新用户注册赠送积分活动 2256081