Wavelet and short-time Fourier transform comparison-based analysis of myoelectric signals
Authors:
- 8 January 2015
- journal article
- research article
- Published by Taylor & Francis in Journal of Applied Statistics
- Vol. 42 (7) , 1591-1601
Abstract
In this investigation, extracted features ofsignals have been analyzed for the recognition of arm movements. Short-time Fourier transform and wavelet transform based on Euclidian distance were applied to reordered signals. Results show that wavelet is a more useful and powerful tool for analyzing signals, since it shows multiresolution property with a significant reduction in the computation time for eliminating resolution problems. Finally, a statistical technique of repeated factorial analysis of variance for experimental recorded data was implemented in a way to investigate the effect of class separability for multiple motions for establishing surface electromyogram–muscular force relationship.Keywords
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