Proportional estimation of finger movements from high-density surface electromyography
نویسندگان
چکیده
منابع مشابه
Real-time Classification of Finger Movements using Two-channel Surface Electromyography
The use of a small number of Electromyography (EMG) channels for classifying the finger movement is a challenging task. This paper proposes the recognition system for decoding the individual and combined finger movements using two channels surface EMG. The proposed system utilizes Spectral Regression Discriminant Analysis (SRDA) for dimensionality reduction, Extreme Learning Machine (ELM) for c...
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No part of this work may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, microfilming, recording or otherwise, without prior written permission from the Publisher. PREFACE This PhD dissertation, entitled " Multi-channel surface electromyography for simultaneous and proportional control of prostheses " , is based on f...
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The analysis on the online finger gesture recognition using multi-channel sEMG signals was explored in this paper. Nine types of gestures were applied to be identified, involving six kinds of numerical finger gestures and three kinds of hand gestures. The time domain parameters were extracted to be the features. And then, the probabilistic neural network was utilized to classify the proposed ge...
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Although many efforts have been undertaken to develop an interface using surface electromyography (sEMG) to connect the gap between a human and a wrist prosthesis, most of these efforts have offered only static positioning (ON/OFF) of the prosthesis. This study introduced synergy matrices to extract fluid wrist movement intents by sEMG to allow individuals with wrist amputations to use wrist pr...
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ژورنال
عنوان ژورنال: Journal of NeuroEngineering and Rehabilitation
سال: 2016
ISSN: 1743-0003
DOI: 10.1186/s12984-016-0172-3