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基于加速度的强度指标与传感器位置的理想组合,可在不同类型运动中监测运动强度。

Ideal Combinations of Acceleration-Based Intensity Metrics and Sensor Positions to Monitor Exercise Intensity under Different Types of Sports.

机构信息

Department of Athletic Performance, National Taiwan Normal University, Taipei City 106, Taiwan.

Graduate Institute of Sports Equipment Technology, University of Taipei, Taipei City 111036, Taiwan.

出版信息

Sensors (Basel). 2022 Mar 28;22(7):2583. doi: 10.3390/s22072583.

Abstract

This study quantified the strength of the relationship between the percentage of heart rate reserve (%HRR) and two acceleration-based intensity metrics (AIMs) at three sensor-positions during three sport types (running, basketball, and badminton) under three intensity conditions (locomotion speeds). Fourteen participants (age: 24.9 ± 2.4 years) wore a chest strap HR monitor and placed three accelerometers at the left wrist (non-dominant), trunk, and right shank, respectively. The %HRR and two different AIMs (Player Load per minute [PL/min] and mean amplitude deviation [MAD]) during exercise were calculated. During running, both AIMs at the shank and PL at the wrist had strong correlations ( = 0.777-0.778) with %HRR; while other combinations were negligible to moderate ( = 0.065-0.451). For basketball, both AIMs at the shank had stronger correlations ( = 0.604-0.628) with %HRR than at wrist ( = 0.536-0.603) and trunk ( = 0.403-0.463) with %HRR. During badminton exercise, both AIMs at shank had stronger correlations ( = 0.782-0.793) with %HRR than those at wrist ( = 0.587-0.621) and MAD at trunk ( = 0.608) and trunk ( = 0.314). Wearing the sensor on the shank is an ideal position for both AIMs to monitor external intensity in running, basketball, and badminton, while the wrist and using PL-derived AIM seems to be the second ideal combination.

摘要

本研究量化了心率储备(%HRR)与三种传感器位置(跑步、篮球和羽毛球)在三种运动类型下的两种基于加速度的强度指标(AIM)之间的关系强度,在三种强度条件下(运动速度)。14 名参与者(年龄:24.9±2.4 岁)佩戴胸带 HR 监测器,分别在左手腕(非优势手)、躯干和右小腿放置三个加速度计。运动过程中计算 %HRR 和两种不同的 AIM(每分钟运动员负荷 [PL/min] 和平均振幅偏差 [MAD])。在跑步中,小腿的两个 AIM 和手腕的 PL 与 %HRR 有很强的相关性(=0.777-0.778);而其他组合则微不足道或中等(=0.065-0.451)。对于篮球,小腿的两个 AIM 与 %HRR 的相关性(=0.604-0.628)比手腕(=0.536-0.603)和躯干(=0.403-0.463)更强。在羽毛球运动中,小腿的两个 AIM 与 %HRR 的相关性(=0.782-0.793)比手腕(=0.587-0.621)和躯干的 MAD(=0.608)和躯干(=0.314)更强。在跑步、篮球和羽毛球运动中,将传感器佩戴在小腿上是监测两种 AIM 外部强度的理想位置,而手腕和使用 PL 衍生的 AIM 似乎是第二理想的组合。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aee0/9003469/e345ccbd7444/sensors-22-02583-g001.jpg

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