Influence of the scale function on wavelet transformation of the surface electromyographic signal

Frère, Julien and Göpfert, Beat and Slawinski, Jean and Tourny-Chollet, Claire. (2012) Influence of the scale function on wavelet transformation of the surface electromyographic signal. Computer methods in biomechanics and biomedical engineering, Vol. 15, issue 2. pp. 111-120.

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Official URL: http://edoc.unibas.ch/dok/A5844590

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The scale function in wavelet transformation (WT) determines wavelet dilation and optimises the processing of a given signal. Here, the objective was to determine the influence of the scale function on the WT of 160 surface electromyograms using second-degree polynomial (WT(poly)) and exponential (WT(exp)) scale functions. For each WT, a mean frequency (MNF) was calculated from the original wavelet spectrum and from the cubic spline interpolated wavelet spectrum, and these were compared with the MNF obtained from a fast Fourier transform (FFT). The total intensity (Tp) for each WT was compared with the root mean square (RMS). The MNFs computed from the original wavelet spectra were significantly (P > 0.05) lower and higher when computed from the reconstructed wavelet spectra than those from the FFT. The Tp computed from WT(poly) showed significantly higher agreement with the RMS than the Tp from WT(exp). Finally, the WT(poly) may serve as a reference in electromyography.
Faculties and Departments:03 Faculty of Medicine > Departement Biomedical Engineering
03 Faculty of Medicine
UniBasel Contributors:Göpfert, Beat
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Taylor & Francis
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:04 Sep 2015 14:31
Deposited On:08 Jun 2012 06:40

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