Simulation Analysis on the MUAPs Classification Using a Combined Detection Method

摘要

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.