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使用六轴惯性测量传感器从更短的时间试验中估计耐力跑的功能阈功率。

Estimating Functional Threshold Power in Endurance Running from Shorter Time Trials Using a 6-Axis Inertial Measurement Sensor.

机构信息

Health Sciences Faculty, Universidad San Jorge, 50830 Zaragoza, Spain.

Department of Sports and Physical Education, University of Granada, 18071 Granada, Spain.

出版信息

Sensors (Basel). 2021 Jan 15;21(2):582. doi: 10.3390/s21020582.

Abstract

Wearable technology has allowed for the real-time assessment of mechanical work employed in several sporting activities. Through novel power metrics, Functional Threshold Power have shown a reliable indicator of training intensities. This study aims to determine the relationship between mean power output (MPO) values obtained during three submaximal running time trials (i.e., 10 min, 20 min, and 30 min) and the functional threshold power (FTP). Twenty-two recreationally trained male endurance runners completed four submaximal running time trials of 10, 20, 30, and 60 min, trying to cover the longest possible distance on a motorized treadmill. Absolute MPO (W), normalized MPO (W/kg) and standard deviation (SD) were calculated for each time trial with a power meter device attached to the shoelaces. All simplified FTP trials analyzed (i.e., FTP10, FTP20, and FTP30) showed a significant association with the calculated FTP ( < 0.001) for both MPO and normalized MPO, whereas stronger correlations were found with longer time trials. Individual correction factors (ICF% = FTP60/FTPn) of ~90% for FTP10, ~94% for FTP20, and ~96% for FTP30 were obtained. The present study procures important practical applications for coaches and athletes as it provides a more accurate estimation of FTP in endurance running through less fatiguing, reproducible tests.

摘要

可穿戴技术使人们能够实时评估几种运动活动中的机械工作。通过新颖的功率指标,功能阈功率已被证明是训练强度的可靠指标。本研究旨在确定在三个亚最大跑步时间试验(即 10 分钟、20 分钟和 30 分钟)中获得的平均功率输出(MPO)值与功能阈功率(FTP)之间的关系。22 名有经验的男性耐力跑步者在电动跑步机上完成了四个亚最大跑步时间试验,即 10 分钟、20 分钟、30 分钟和 60 分钟,试图尽可能长距离地覆盖。用鞋带固定的功率计设备计算每个时间试验的绝对 MPO(W)、归一化 MPO(W/kg)和标准偏差(SD)。所有简化的 FTP 试验分析(即 FTP10、FTP20 和 FTP30)与计算的 FTP 均显示出显著的相关性(<0.001),无论是 MPO 还是归一化 MPO,时间试验越长,相关性越强。FTP10 的个体校正因子(ICF%=FTP60/FTPn)约为 90%,FTP20 约为 94%,FTP30 约为 96%。本研究为教练和运动员提供了重要的实际应用,因为它通过更不累、更可重复的测试,提供了对耐力跑步中 FTP 的更准确估计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82af/7830104/d043ef87e6a7/sensors-21-00582-g001.jpg

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