Classification of the Systems Used in Surface Electromyographic Signal Detection according to the Degree of Isotropy
Degree (music)
SIGNAL (programming language)
Detection theory
DOI:
10.14326/abe.7.107
Publication Date:
2018-04-27T22:22:47Z
AUTHORS (3)
ABSTRACT
Surface electromyographic (EMG) signals are known to be strongly influenced by anatomical, physiological and detection system parameters. Among the parameters, we interested in effect of muscle fiber inclination on electrode arrangement. The purpose this study was determine best worst orientation electrodes arranged nine systems relative direction also classify investigated according their degree isotropy. based simulated surface EMG (sEMG) generated a cylindrical multilayer volume conductor. with respect defined angle (FIA). For each system, mean power (MP) computed at different FIAs used as basis for evaluating inclination. We showed that FIA range 0–180°, approximately isotropic had three positions record sEMG under good conditions (MP maximum). However, longitudinal transversal highly anisotropic two one positions, respectively, which were detected conditions. isotropy less affected increase fat thicknesses. an inter-electrode distance (IED), decreased while increased.
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