EMG based Control of Transtibial Prosthesis

Anoosha Anis, M. Abbas Irshad, Syed M. Hamza, Noman Naseer, Hammad Nazeer, Andrian

2019

Abstract

Amputation is defined as the loss of a limb. Transtibial amputation is the amputation below the knee. The purpose of this research is to develop an Electromyography (EMG) based control to mimic the three positions of an ankle. The EMG signals are extracted using eight channel Myo Armband on the tibialis muscles on eight subjects. These signals correspond to the two extreme positions of an ankle and a rest position. The features are extracted and K-Nearest Neighbour is used as a classifier to differentiate between the extreme positions with 98.75 % training classification accuracy. The classified signals are then used to control the prosthesis which mimics the ankle movement. This research can be applied to rehabilitate the ankle and help the people with lower limb amputations.

Paper Citation

in Harvard Style

Anis A., Irshad M., Hamza S., Naseer N., Nazeer H. and Andrian. (2019). EMG based Control of Transtibial Prosthesis.In Proceedings of the International Conference on Health Informatics and Medical Application Technology - Volume 1: ICHIMAT, ISBN 978-989-758-460-2, pages 74-81. DOI: 10.5220/0009464200740081

in Bibtex Style

@conference{ichimat19,
author={Anoosha Anis and M. Abbas Irshad and Syed M. Hamza and Noman Naseer and Hammad Nazeer and Andrian},
title={EMG based Control of Transtibial Prosthesis},
booktitle={Proceedings of the International Conference on Health Informatics and Medical Application Technology - Volume 1: ICHIMAT,},
year={2019},
pages={74-81},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009464200740081},
isbn={978-989-758-460-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Health Informatics and Medical Application Technology - Volume 1: ICHIMAT,
TI - EMG based Control of Transtibial Prosthesis
SN - 978-989-758-460-2
AU - Anis A.
AU - Irshad M.
AU - Hamza S.
AU - Naseer N.
AU - Nazeer H.
AU - Andrian.
PY - 2019
SP - 74
EP - 81
DO - 10.5220/0009464200740081