An optimal Bayesian threshold method for onset detection in electric biosignals

DOI10.1016/j.mbs.2018.12.016zbMath1415.62095OpenAlexW2907067753WikidataQ90825270 ScholiaQ90825270MaRDI QIDQ669177

Juan-Miguel Gracia

Publication date: 20 March 2019

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mbs.2018.12.016

zbMATH Keywords

electromyography signalsbiological signalsonset detectionoptimal Bayesian classifiersingle threshold

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Neural biology (92C20)

Cites Work

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• Activity pattern detection in electroneurographic and electromyogram signals through a heteroscedastic change-point method
• A computational method for the detection of activation/deactivation patterns in biological signals with three levels of electric intensity
• A Cluster Analysis Method for Grouping Means in the Analysis of Variance
• A Bayesian change-point analysis of electromyographic data: detecting muscle activation patterns and associated applications

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