基于步态特征的下肢运动疲劳无创检测方法

Noninvasive Detection Methods of Lower Limbs Sports Fatigue Based on the Characteristics of Gait

采用中科院合肥物质科学研究院研制的数字化跑道测试系统,测试了30名普通大学生下肢疲劳前后的步态指标,提取有效指标,实现了对运动疲劳的无创检测.结果表明,步长和脚印方向角是判断男生下肢运动疲劳的有效指标,表现为步长变短、脚印方向角变大;双支撑时间和COPY偏差是判断女生下肢运动疲劳的有效指标,表现为双支撑时间变长、COPY偏差变大.总体而言,普通大学生在下肢运动疲劳后的步长变短,双支撑时间变长,COPY偏差变小.

Chinese Academy of Sciences, Hefei Institutes of Physical Science developed the digital track test systems, which test the gait index of lower limb before and after fatigue for 30 ordinary college students. From extraction of valid indicators, the non-invasive detection of exercise for sport fatigue is realized. The results show steps and direction angle of footprints are the effective index to determine boy＇s fatigue in lower limbs exercise, for example, step length is shorter, and direction angle of footprints are larger. Double support time and C.OPY deviation are effective index to determine girl＇s fatigue in lower limbs exercises, such as double support time becomes longer, COPY deviation become larger. All in all, ordinary college student＇s fatigue in lower limbs exercises show that step length is shorter, doule support time is longer and COPY deviation becomes smaller.