杨薇

个人信息Personal Information

副教授

硕士生导师

性别:女

毕业院校:沈阳体育学院

学位:硕士

所在单位:体育与健康学院

学科:运动人体科学

电子邮箱:wei88@dlut.edu.cn

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Based on SWA sensor energy consumption under the sports fitness and strength of the correlation research

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论文类型:期刊论文

发表时间:2015-10-30

发表刊物:Open Automation and Control Systems Journal

收录刊物:EI、Scopus

卷号:7

期号:1

页面范围:2111-2115

ISSN号:18744443

摘要: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 higher correlation. ? Tang and Yang.