Electromyography Signal Analysis to Obtain Knee Joint Angular Position

Edinson Porras, Lina Peñuela, Alexandra Velasco

2019

Abstract

Knee injuries are due to several causes and affect a large part of the population. In all of the cases, rehabilitation is required to recover the joint mobility and strength. In this context, the use of technology, especially the development of assistive devices may offer advantages to the patients, e.g. allow to perform correctly the exercises, adapt to the users’ needs and help to comply with the prescribed physical therapy. These devices may have specific requirements focused on not harming the patient. This is why control strategies are needed, and therefore feedback sensing is highly important. In this paper we present an algorithm to determine the knee joint angular position from surface Electromyography (EMG) measurements, using a curve fit from a polynomial adjustment method and a Locally Weighted Projection Regression (LWPR) method. We validate our approach, comparing the data obtained from the curve fitting with the measurements obtained with position sensors. In this way, results show that indeed we can explain the joint angular position with the EMG data taken in knee flexion-extension motion, applying a polynomial adjustment approach and the LWPR method.

Paper Citation

in Harvard Style

Porras E., Peñuela L. and Velasco A. (2019). Electromyography Signal Analysis to Obtain Knee Joint Angular Position.In Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-380-3, pages 730-737. DOI: 10.5220/0007927707300737

in Bibtex Style

@conference{icinco19,
author={Edinson Porras and Lina Peñuela and Alexandra Velasco},
title={Electromyography Signal Analysis to Obtain Knee Joint Angular Position},
booktitle={Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2019},
pages={730-737},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007927707300737},
isbn={978-989-758-380-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Electromyography Signal Analysis to Obtain Knee Joint Angular Position
SN - 978-989-758-380-3
AU - Porras E.
AU - Peñuela L.
AU - Velasco A.
PY - 2019
SP - 730
EP - 737
DO - 10.5220/0007927707300737