Journal of Jilin University(Information Science Ed

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Analysis of Electromyography Signal in Massage Technique Based on Wavelet Transform

WANG Xiao1, WANG Li-rong2a, SONG Ya-juan2b, REN Li-ye2a, FENG Ping2b   

  1. 1. College of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China; 2a. College ofElectronic and Information Engineering; 2b. College of Computer Science and Technology, Changchun University, Changchun 130022, China
  • Received:2012-09-15 Online:2013-05-27 Published:2013-06-07

Abstract:

Surface electromyography signal system was used to collect the related muscle groups electromyography signals of the expert and beginners during rolling method, then the signals were analyzed by multi-resolution based on wavelet transform to get the characteristic parameters of the rolling method, and the aim of the method is to provide some valuable references for massage evaluation and training. The analysis of experimental results show that 75% of the experts energy in rolling method is concentrated in the low-frequency band, while 40% of the total energy is from brachioradialis. And Energy distribution of beginners is different from the experts. So in the later training, beginners should pay attention to the training of brachioradialis under the precondition of the right operational position.

Key words: electromyography signal, wavelet transform, characteristic parameter, signal analysis

CLC Number: 

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