Cart (Loading....) | Create Account
Close category search window

Myoelectric Pattern Recognition for Use in the Volitional Control of Above-Knee Prostheses

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)

An algorithm through which above-knee (AK) amputees may exercise voluntary and subconscious control of knee flexion and extension with their prosthetic device is presented in this paper. It is hypothesized that spatial patterns of electromyograms (EMG) from muscles above the site of amputation can be separated into groups representing 1) knee flexion, 2) knee extension, and 3) hip action involving no knee activity. An experiment was designed and an apparatus constructed to apply known torques in various configurations to the right leg of normal subjects while sampling EMG from selected muscle groups. Various pattern classification techniques were then applied to judge the degree of separability among each of the three classes of patterns. It was found that the classification can be performed virtually without error depending upon the complexity of the training procedures used to develop the classifier parameters. In addition the magnitude of the classifier response (in the positive sense only) is correlated with the applied knee torque in the direction for which the classifier is designed. Similar results have been found with an above-knee amputee as a subject.

Published in:

Systems, Man and Cybernetics, IEEE Transactions on  (Volume:11 ,  Issue: 4 )

Date of Publication:

April 1981

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.