Original Research ARTICLE
Analysis of muscle load-sharing in patients with lateral epicondylitis during endurance isokinetic contractions using nonlinear prediction
- 1El Bosque University, Colombia
- 2Universitat Politecnica de Catalunya, Spain
- 3Other, Spain
The aim of this paper is to analyze muscle load-sharing in patients with Lateral Epicondylitis during dynamic endurance contractions by means of nonlinear prediction of surface EMG signals. The proposed nonlinear cross-prediction scheme was used to predict the envelope of an EMG signal and is based on locally linear models built in a lag-embedded Euclidean space. The results were compared with a co-activation index, a common measure based on the activation of a muscle pair. Nonlinear prediction revealed changes in muscle coupling, that is load-sharing, over time both in a control group and Lateral Epicondylitis (p<0.05), even when subjects did not report pain at the end of the exercise. These changes were more pronounced in patients, especially in the first part of the exercise and up to 50% of the total endurance time (p<0.05). By contrast, the co-activation index showed no differences between groups.
Results reflect the changing nature of muscular activation strategy, presumably because of the mechanisms triggered by fatigue. Strategies differ between controls and patients, pointing to an altered coordination in Lateral Epicondylitis.
Keywords: Epicondylitis, co-activation, Dynamic contractions, Nonlinear processing, Endurance, surface EMG, nonlinear prediction
Received: 29 Mar 2019;
Accepted: 02 Sep 2019.
Copyright: © 2019 Rojas- Martínez, Alonso, Jordanic, Mañanas and Chaler. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: PhD. Mónica Rojas- Martínez, El Bosque University, Bogotá, 500001, Cundinamarca, Colombia, email@example.com