采用基于二阶统计量的盲源分离算法对多导表面肌电信号进行处理，实现噪声的分离和表面肌电信号的初步分解。
Some methods of SEMG signal pretreatment based on blind source separation using second order statistics were proposed for noise separation and the elementary decomposition of multi-channel SEMG.
结论该方法模拟出的SEMG信号更能逼近真实表面肌电信号的特征，可用于验证SEMG分解算法。
Conclusion the simulated SEMG signal based on this method has key characters similar to those of the real SEMG, and it can be used to test the decomposition algorithms.
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