title: Predicting isometric force from muscular activation using a physiologically inspired model.
abstract: Motivated by biochemical processes during muscular contraction, a model is constructed that predicts isometric force from surface electromyographic signals (sEMG). The model is experimentally validated and then it is used to predict contractions from sEMG data. The calculated simulations reveal a highly non-linear relationship between sEMG and isometric force.
authors.affiliation: Motion Science, Westfälische Wilhelms-Universität Münster and Center for Nonlinear Science (CeNoS), Horstmarer Landweg 62b, 48149 Münster, Germany. heiko.wagner@uni-muenster.de
authors.forename: Heiko
authors.initials: H
authors.lastname: Wagner
authors.forename: Kim
authors.initials: K
authors.lastname: Boström
authors.forename: Bastian
authors.initials: B
authors.lastname: Rinke
mesh_terms: D000328:Adult; D001696:Biomechanical Phenomena / Q000502:physiology; D004576:Electromyography; D005260:Female; D006801:Humans; D007537:Isometric Contraction / Q000502:physiology*; D008297:Male; D008954:Models, Biological; D018482:Muscle, Skeletal / Q000502:physiology*