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Supervised classification of motor unit action potentials based on estimates of classification certainty

The classification of motor unit action potentials extracted from a myoelectric (ME) signal is a difficult task due to the lack of a priori information regarding the number of classes and the class statistics. Classification can be performed with great accuracy by humans due to inherent pattern anal...

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Main Authors: Paoli, G.M., Stashuk, D.W.
Format: Conference Proceeding
Language:English
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Stashuk, D.W.
description The classification of motor unit action potentials extracted from a myoelectric (ME) signal is a difficult task due to the lack of a priori information regarding the number of classes and the class statistics. Classification can be performed with great accuracy by humans due to inherent pattern analysis and decision-making abilities. In trying to match the performance of the human operator, a method was developed to combine various sources of information into a certainty function which mimics the degree of certainty a human might have about a classification, given the same information. This method is described and preliminary comparative results provided.
doi_str_mv 10.1109/IEMBS.1993.979099
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subjects Decision making
Design engineering
Euclidean distance
Humans
Information resources
Pattern analysis
Probability
Shape
Signal generators
Signal resolution
title Supervised classification of motor unit action potentials based on estimates of classification certainty
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