Reducing cross terms effects in the Choi-Williams transform of mioelectric signals

12Citations
Citations of this article
29Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

This study aims at investigating the effect of removing the negative values of Choi-Wiliams distribution (CWD) related to the electromyogram (EMG) for visualization and instantaneous median frequency (IMF) estimation. Beyond the EMG signals from triceps surae and biceps brachialis, the CWD was applied in a simulated sinusoidal signal as like in stationary and non-stationary simulated EMG signals (SES). The CWD negative values of all simulated and EMG signals were removed. The IMF values were obtained for SES and EMG. The CWD IMF values from SES and EMG were thus compared with the IMF values from short time Fourier transform (STFT) by means of correlation. The suppression of negative values from the CWD reduced cross terms influence and improved visualization, as shown by the increased correlation coefficient between the IMF values. Before this suppression, the extracted IMF values showed large oscillation along the time, with various spurious values beyond 500. Hz, which disappeared after the suppression. Moreover, this procedure seems to be especially useful for non-stationary signals. © 2013 Elsevier Ireland Ltd.

Cite

CITATION STYLE

APA

Pereira, G. R., de Oliveira, L. F., & Nadal, J. (2013). Reducing cross terms effects in the Choi-Williams transform of mioelectric signals. Computer Methods and Programs in Biomedicine, 111(3), 685–692. https://doi.org/10.1016/j.cmpb.2013.06.004

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free