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