The research on surface electromyography signal effective feature extraction

An important issue in the classification of electromyography signals is the classifier design. For surface electromyography signals in the acquisition process of serious interference by the noise, in particular frequency electrical interference, we use the zero mean of the electromyography signals and the whole cycle of filtering, obtain effective extraction of the electromyography signals characteristics. we compared the whole period of Electromyography signals filtering and f non-whole period filtering for hand acting, obtains the whole period of electromyography signals filtering to suppress interference is a very effective method. The way of electromyography signals feature extraction provides a simple, fast and practical method and lay the foundation for follow-up electromyography signals multi-action recognition.