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Background: Selecting an appropriate number of surface electromyography(EMG)channels with the desired classification performance and determining the optimal placement of EMG electrodes would be necessary and important in practical myoelectric control system.In the previous studies,several methods such as sequential forward selection(SFS)and Fisher-Markov selector(FMS)have been used to select the appropriate number of EMG channels for a control system.These exiting methods are dependent on either EMG features and/or classification algorithms,which means that when using different EMG features or classification algorithm,the selected channels would be changed.In this study,a new method named multi-class common spatial pattern(MCCSP)was proposed for EMG selection in EMG pattern-recognition-based movement classification.Since MCCSP would be independent on EMG features and classification algorithms,it would be more convenient for channel selection in developing an EMG control system than the exiting methods.