Data extraction method of muscle strength index under high-intensity exercise
Different from the general exercise state,in the high-intensity exercise state,due to the complex characteristics of muscle strength data indicators and the poor data conversion effect,the fitness between the index data extraction results and the exercise state is low.Thus,a method to extract muscle strength index under high-intensity exercise is design.The isokinetic muscle strength testing method is used to design the optimized muscle strength test process,transform the muscle strength test data,and simplify the complex in-dex feature constraints.The normalized average extraction method is used to extract the key muscle strength indicators,so as to realize the data extraction of muscle strength indicators under the state of high-intensity exercise.The experiment results show that this method can improve the extraction quality of muscle strength data,and the data removal rate is low,which ensures the adaptability between the extraction results of mus-cle strength indicators and exercise status.
NETL
NSTL
万方数据
