摘要
为研究专业运动员在不同蹬踏频率下的下肢肌电信号与输出功率之间的特征关系,选取9名专业场地自行车运动员在8%的自身体重负荷下分别以100rpm、120rpm、130rpm、140rpm骑行,同时测试下肢9块肌肉的EMG信号和输出功率的变化值。结果表明:(1)TA、RF、VM、GAS(M)、GAS(L)、BF、STG、GM的AVG和RMS值随着蹬踏频率的增高而变大,而MNF值先降低再增加最后又下降;其中TA、VM、GAS(M)、GAS(L)、STG、GM的AVG和RMS值呈显著性增加,且相关性较明显;(2)峰值(最大输出功率)随蹬踏频率的增高而变大,且相关性十分显著,而相对峰值、最小功率、相对最小功率、平均功率、相对平均功率值随着蹬踏频率的增高而变大,但除蹬踏频率在140RPM外,其他蹬踏频率之间的各个指标不具有相关性;(3)从单因素的Anova分析指标、共线性诊断指标、残差统计量指标出发,结合回归指标建立相关的多元线性模型。
As the research professional athletes in different pedaling frequency of lower limb muscle electrical signals and output power between the feature relation,the selection of nine professional athletes bikes in 8% of their body weight load respectively under 100 RPM,120 RPM,130 RPM,140 RPM riding,at the same time to test the changes in value of the lower extremity 9 muscle EMG signal and output power.The results show that：（1）TA、RF、VM、GAS（M）、GAS（L）、BF、STG、GM＇s AVG and RMS value with cadence of frequency and change,and to reduce the MNF value add then down;The TA、VM、GAS（M）、GAS（L）、STG、GM＇s AVG and RMS value was significantly increased,and the correlation is obvious;（2）Peak（maximum output power） along with the cadence of frequency and change,and correlation is very remarkable,and relatively peak,minimum power,relative minimum power,average power,relative average power value with cadence of frequency and change,but the addition to the the pedaling frequency 140RPM outside,other pedaling frequency between the indicators do not have relevance;（3）From the single factor also revealed by one-way Anova analysis index,collinearity diagnosis index,residual statistics indicators,combined with the regression index set up related multivariate linear model.
出处
《南京体育学院学报（自然科学版）》
2012年第5期5-10,共6页
Joournal of Nanjing Institute of Physical Education:Natural Science
基金
江苏省自行车场地项目训练监控及其基本技术多媒体教学体系建设(项目编号:YJ201005)
