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| Removing Power Frequency Noise in sEMG with Matched Filtering and ICA |
| ZHANG Qi-zhong,XI Xu-gang,GAO Fa-rong |
| Intelligent Control & Robotics Institute, Hangzhou Dianzi University, Hangzhou, Zhejiang 310018, China |
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Abstract A new method of removing power frequency noise in surface electromyography(sEMG) is designed with matched filtering and independent component analysis. It can be judged effectively whether surface electromyography includes the power frequency noise with matched filtering. It can be avoided that the power frequency noise filter is abused. Under this premise that surface electromyography includes the power frequency noise, the power frequency noise can be removed effectively and the other frequency components is not affected significantly by using independent component analysis. The experiment proved that this method is effective.
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2013, Vol. 34 
