Determination of window size and sliding interval for EMG signals by using genetic algorithm
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CitationÇalışkan, A., Badem, H., Çil, Z.A. (2019).Determination of window size and sliding interval for EMG signals by using genetic algorithm [Article@EMG sinyalleri için pencere genişliǧinin ve kaydirma miktarinin genetik algoritmayla belirlenmesi] TIPTEKNO 2019 - Tip Teknolojileri Kongresi, art. no. 8895122.https://doi.org/10.1109/TIPTEKNO.2019.8895122
The selection of window size and sliding interval are one of the important problems encountered in Electromyography (EMG) signal processing. However, there exist a few methods to determine the window size and sliding interval for EMG signal classification problems. In this paper, a new method is proposed to optimize the window size and sliding interval for EMG signals by using Genetic Algorithm. Experimental results on a EMG data set show that the proposed method improve the performance of a traditional classifier in terms of classification accuracy. © 2019 IEEE.