Resolution of Superpositions in EMG Signals using Belief Propagation: Results for the Known Constituent Problem
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Date
2006
Publication Type
Conference Paper
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yes
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Abstract
The problem of resolving superpositions in electromyographic (EMG) signals is considered. The shapes of the motor unit action potentials that make up each superposition are assumed to be known a-priori (known constituent problem). Two different and novel belief propagation algorithms have been developed to solve this problem. These algorithms and simulation results are presented in this paper
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published
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Book title
2006 International Conference of the IEEE Engineering in Medicine and Biology Society
Journal / series
Volume
Pages / Article No.
1260 - 1263
Publisher
IEEE
Event
28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2006)
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Methods
Software
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Date collected
Date created
Subject
EMG signal decomposition; Factor graphs; Belief propagation
Organisational unit
03529 - Lapidoth, Amos / Lapidoth, Amos
03568 - Loeliger, Hans-Andrea / Loeliger, Hans-Andrea