Title :
Based on probabilistic neural network of human multi-channel Semg pattern recognition
Author :
Changming Dai ; Chunmei Du ; Aiha Qi ; Jiwen Liu
Author_Institution :
Educ. Dept., Hebei Univ. of Archit., Zhang Jia Kou, China
Abstract :
The phase space reconstruction theory combined with neural network topic of EMG signal analysis methods. Firstly, using the models of the fractal characteristics, calculatiion the two-dimensional spatial information entropy as reflected the muscles of the measuring unit of motion information. Then input the information entropy to the trained probability RBF to be classified Experimental results show that this method is an effective muscle signal pattern récognition method.
Keywords :
electromyography; entropy; learning (artificial intelligence); medical signal processing; pattern recognition; probability; radial basis function networks; signal reconstruction; EMG signal analysis methods; fractal characteristics; human multichannel SEMG pattern recognition; motion information; muscle signal pattern recognition method; phase space reconstruction theory; probabilistic neural network; probability RBF; radial basis function network; surface electromyography; two-dimensional spatial information entropy; Probability RBF neural network; information entropy; semg;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4673-2963-7
DOI :
10.1109/ICCSNT.2012.6526172
