Abstract
In the Multistate Myoelectric Channel, a Single Myoelectric Signal Source is Used to Control a Multifunction Powered Prosthesis. the Selection of a Prosthesis Auction Requires a Receiver to Process the Myoelectric Signal, Contaminated with Noise, and to Decide on the Basis of the Received Signal Which Function is Desired. Thus, the Channel Dearly Presents a Problem of Choice of Receiver and of Decision Strategy. Previous Solutions to This Problem Have Been Basically Empirical. in This Paper We Seek the Optimum Receiver Where Optimum is in the Minimum Probability of Error Sense. First a Model is Developed for the Bipolar Myoelectric Signal to Provide Information About the Relevant Signal Parameters and Statistics. using This Information, the Bayes Mini-Mum Probability of Error Receiver is Derived for an Arbitrary Signal Parameter Set. the Optimum Signal Parameter Set is Then Found for the Bayes Receiver, and the Receiver Performance Calculated. the Receiver Performance is Measured and Compared with the Calculated Performance. a Significant Performance Improvement is Seen in the Optimum Receiver over a More Conventional Receiver. Copyright © 1977 by the Institute of Electrical and Electronics Engineers, Inc.
Recommended Citation
P. A. Parker et al., "Signal Processing for the Multistate Myoelectric Channel," Proceedings of the IEEE, vol. 65, no. 5, pp. 662 - 674, Institute of Electrical and Electronics Engineers, Jan 1977.
The definitive version is available at https://doi.org/10.1109/PROC.1977.10545
Department(s)
Electrical and Computer Engineering
International Standard Serial Number (ISSN)
1558-2256; 0018-9219
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2023 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Jan 1977
