Gender dependent EMGs of runners resolved by time/frequency and principal pattern analysis

von Tscharner, V. and Goepfert, B.. (2003) Gender dependent EMGs of runners resolved by time/frequency and principal pattern analysis. Journal of Electromyography and Kinesiology, 13 (3). pp. 253-272.

Full text not available from this repository.

Official URL: http://edoc.unibas.ch/45307/

Downloads: Statistics Overview


A promising approach for the analysis of surface electromyograms is to use wavelets to determine the spectral distribution of the signal intensity at any time. The authors have recently proposed using non-linearly scaled wavelets to obtain intensity patterns, which reflect the spectral distribution at any given time point. Further analysis of intensity-patterns is greatly facilitated by representing them as linear combinations of a base set of principal-patterns. The weight with which each principal-pattern contributes to the intensity-pattern can be represented on a set of orthogonal axes that span a previously introduced pattern space. The purpose of the present study was to show how to use pattern space to discriminate and classify male and female runners based on the electromyograms of five muscles of the limb. The results showed that there were significant gender specific differences, which allowed more than a 95% correct classification of the subjects as males or females. Classification was possible irrespective of the shod condition while running. Gender specific differences occurred at well-defined time periods during the movement. Common to both genders was that spectral changes did not parallel the changes in total signal intensity.
Faculties and Departments:03 Faculty of Medicine > Departement Biomedical Engineering > Imaging and Computational Modelling > Biomaterials Science Center (Müller)
UniBasel Contributors:Göpfert, Beat
Item Type:Article, refereed
Article Subtype:Research Article
Note:Publication type according to Uni Basel Research Database: Journal article
Identification Number:
Last Modified:06 Dec 2017 15:52
Deposited On:06 Dec 2017 15:52

Repository Staff Only: item control page