HAND PROSTHESIS CONTROL - Software Tool for EMG Signal Analysis

Tomasz Suchodolski, Andrzej Wolczowski

2010

Abstract

The paper discusses the problem of the decision process of controlling the bio-prosthesis of the hand that is treated as the human intention recognition by means of the analysis of the electromyography (EMG) signals from the hand muscles. The number of movements, which is indispensable for the dexterity of the prosthesis, makes the recognition not entirely reliable. The approach presented herein includes three methods: the decision tree, neuron networks, and genetic algorithms in order to enhance the reliability of the EMG signal recognition. Simultaneously, the paper presents the software designed for the needs of the research and adapted to processing the EMG signals in compliance with these methods.

Paper Citation

in Harvard Style

Suchodolski T. and Wolczowski A. (2010). HAND PROSTHESIS CONTROL - Software Tool for EMG Signal Analysis . In Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-8425-01-0, pages 321-326. DOI: 10.5220/0002957403210326

in Bibtex Style

@conference{icinco10,
author={Tomasz Suchodolski and Andrzej Wolczowski},
title={HAND PROSTHESIS CONTROL - Software Tool for EMG Signal Analysis},
booktitle={Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2010},
pages={321-326},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002957403210326},
isbn={978-989-8425-01-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - HAND PROSTHESIS CONTROL - Software Tool for EMG Signal Analysis
SN - 978-989-8425-01-0
AU - Suchodolski T.
AU - Wolczowski A.
PY - 2010
SP - 321
EP - 326
DO - 10.5220/0002957403210326