Based on SWA Sensor Energy Consumption Under the Sports Fitness and Strength of the Correlation Research

Zhenyu Tang, Wei Yang
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引用次数: 3

Abstract

SWA sensor is used to measure the treadmill walking running and cycling on the spot when the energy consumption, and compared with the indirect method of measuring thermal measurement results, the SWA to measure the effectiveness of the energy consumption for fitness, provide a reference for accurate application of the sensor. In 15 adult male in tablet exercise treadmill to complete the 4.8 km/h, 6.4 km/h, 8.0 km/h speed of three movement walk, run, and complete 10 km/h in indoor, 13 km/L, 15 km/h cycling sport, using SWA (two software version V6.1, V7.0) and indirect method of measuring thermal forecast movement of energy consumption, to predict data matching test, regression analysis, correlation analysis, Ie coefficient and consistency check. Results: (1) gWA6.1 overestimated the treadmill run go (1% overvalued) and field cycling of energy consumption (9% overvalued), but has good correlation and consistency (r = 0.91, the ICC = 0.91). Gara sensor (2) prediction of energy consumption for fitness value is far greater than the indirect method of measuring thermal prediction of energy consumption, and to predict the energy consumption difference increased with the increase of speed increasing, and the sensor old version overestimate low intensity exercise energy consumption and high intensity of energy consumption is different, but the estimate of the energy consumption and had a
基于SWA传感器下运动体能能量消耗与力量的相关性研究
SWA传感器是用来测量跑步机行走跑步和骑行时现场的能量消耗,并与间接测量热测量的方法进行对比,得出SWA测量的健身能量消耗的有效性,为传感器的准确应用提供参考。在15名成年男性平板运动机上完成4.8 km/h、6.4 km/h、8.0 km/h速度的步行、跑步三种运动,并完成10 km/h室内、13 km/L室内、15 km/h自行车运动,采用SWA (V6.1、V7.0两个软件版本)和间接测热法预测运动能耗,对预测数据进行匹配检验、回归分析、相关分析、Ie系数和一致性检验。结果:(1)gWA6.1高估了跑步机跑走量(高估1%)和野外循环能耗(高估9%),但具有良好的相关性和一致性(r = 0.91, ICC = 0.91)。Gara传感器(2)对健身能量消耗值的预测远远大于间接测量热法预测的能量消耗,且预测的能量消耗差异随着速度的增加而增大,与传感器老版本高估的低强度运动能量消耗和高强度运动能量消耗不同,但其估计的能量消耗和有一个
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