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AVALIAÇÃO DE METODOLOGIAS PARA DETECÇÃO AUTOMÁTICA DE SINAIS ELETROMIOGRÁFICOS

Authors: Moraes, Rodrigo Belagamba De; Cunha, Beatriz Cappelozza; Flores, Jeferson Vieira; Baptista, Rafael Reimann; Salton, Aurélio Tergolina;

AVALIAÇÃO DE METODOLOGIAS PARA DETECÇÃO AUTOMÁTICA DE SINAIS ELETROMIOGRÁFICOS

Abstract

A detecção automática de ativações musculares é de extrema importância para o desempenho de próteses elétricas. Nesses dispositivos, para que ocorra a análise de sinais mioelétricos e detecção dos mesmos, é necessário que métodos de Processamento Digital de Sinais sejam implementados, como o Operador de Energia de Teager-Kaiser e Sample Entropy. Este trabalho buscou avaliar de forma quantitativa esses métodos sob três aspectos a partir de sinais mioelétricos sintéticos construídos por um gerador de dados artificiais: precisão, tolerância a ruídos e custo computacional. Através dos resultados obtidos, uma avaliação qualitativa da performance de cada método foi possibilitada.

XII SIMPÓSIO DE ENGENHARIA BIOMÉDICA -I X SIMPÓSIO DE INSTRUMENTAÇÃO E IMAGENS MÉDICAS

Keywords

Eletromiografia, sinal mioelétrico, processamento digital de sinais, ativação muscular

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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