By Topic

A Signal-to-Noise Investigation of Nonlinear Electromyographic Processors

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
$33 $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)
John G. Kreifeldt ; Department of Engineering Design, Tufts University, Medford, Mass. 02155. ; Sumner Yao

A general class of nonlinear electromyographic (EMG) processors has been evaluated for their signal-to-noise ratio (SNR) properties. These filters incorporate as the detector element either a power-law (xn) or root-law (x1/n) transformation (detector) followed by a linear low-pass smoothing filter. ``Linearized'' versions of these processors in which the smoothing filter is followed by an element with the inverse detector characteristics were also evaluated.

Published in:

IEEE Transactions on Biomedical Engineering  (Volume:BME-21 ,  Issue: 4 )