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- W2735315269 abstract "In surface electromyography, electrodes are placed on skin surface above the muscles being monitored, to record the electrical potentials generated in the muscles when an activity is performed. These signals are useful in wearable electronic devices such as those used for human-machine interface, health monitoring and prosthetic limb control. High-order spectra, such as bispectrum, have been used to analyze surface electromyography since they have been shown to be non-Gaussian in nature. We propose the evaluation of mean frequency from axial integrated bispectrum for analysis of electromyography signals. The proposed parameter is tested on surface electromyography signals recorded from two muscular locations on hand for three pairs of opposite activities. As compared to the conventional technique of evaluating mean frequency from the power spectral density of the signal, the proposed parameter provides better distinction between the considered activities." @default.
- W2735315269 created "2017-07-21" @default.
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- W2735315269 date "2016-08-01" @default.
- W2735315269 modified "2023-09-26" @default.
- W2735315269 title "Analysis of surface electromyogram signals using integrated bispectrum" @default.
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- W2735315269 doi "https://doi.org/10.1109/iicip.2016.7975345" @default.
- W2735315269 hasPublicationYear "2016" @default.
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