Title :
Simulation Analysis on the MUAPs Classification Using a Combined Detection Method
Author :
Li, Qiang ; Yang, Ji-Hai
Author_Institution :
Sch. of Inf. Eng., Southwest Univ. of Sci. & Technol., Mianyang, China
Abstract :
For exploring the recognition performance of MUAPs, using the synthesized signal, the candidate MUAPs were detected by the combined method of continuous wavelet transform and hypothesis testing, the primary clustering of MUAPs was done by the fuzzy k-means algorithm, and the superimposed waveforms were decomposed by the modeling approach. The experimental results showed that the simulated MUAPs could be correctly extracted and classified by the proposed strategy.
Keywords :
biomechanics; electromyography; fuzzy set theory; medical signal detection; medical signal processing; signal classification; wavelet transforms; EMG; MUAP classification; combined detection method; continuous wavelet transform; fuzzy k-means algorithm; hypothesis testing; motor unit action potentials; primary clustering; superimposed waveforms; Analytical models; Clustering algorithms; Continuous wavelet transforms; Electromyography; Pattern recognition; Signal analysis; Signal resolution; Source separation; Testing; Wavelet transforms;
Conference_Titel :
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4712-1
Electronic_ISBN :
2151-7614
DOI :
10.1109/ICBBE.2010.5518030
