Analysis of statistical and standard algorithms for detecting muscle onset with surface electromyography

Matthew S. Tenan; Andrew J. Tweedell; Courtney A. Haynes

doi:10.1371/journal.pone.0177312

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Open Access

Peer-reviewed

Research Article

Analysis of statistical and standard algorithms for detecting muscle onset with surface electromyography

Matthew S. Tenan ,

* E-mail: matthew.s.tenan.civ@mail.mil

Affiliation United States Army Research Laboratory, Human Research and Engineering Directorate, Integrated Capability Enhancement Branch, Aberdeen Proving Ground, MD, United States of America

http://orcid.org/0000-0003-2215-0846

⨯
Andrew J. Tweedell,

Affiliation United States Army Research Laboratory, Human Research and Engineering Directorate, Integrated Capability Enhancement Branch, Aberdeen Proving Ground, MD, United States of America
⨯
Courtney A. Haynes

Affiliation United States Army Research Laboratory, Human Research and Engineering Directorate, Integrated Capability Enhancement Branch, Aberdeen Proving Ground, MD, United States of America
⨯

Analysis of statistical and standard algorithms for detecting muscle onset with surface electromyography

Matthew S. Tenan,
Andrew J. Tweedell,
Courtney A. Haynes

Published: May 10, 2017
https://doi.org/10.1371/journal.pone.0177312

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Update to Bayesian Changepoint Analysis From Author

Posted by MatthewTenan on 14 Feb 2019 at 11:34 GMT

Hello,
As the lead author on the manuscript, I would like to alert readers to our related Letter to the Editor in the Journal of Applied Biomechanics:

https://journals.humankin...

This letter concerns updates made to the R package 'bcp', which was used for Bayesian changepoint analysis in our manuscript.

No competing interests declared.

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Analysis of statistical and standard algorithms for detecting muscle onset with surface electromyography

Analysis of statistical and standard algorithms for detecting muscle onset with surface electromyography

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Update to Bayesian Changepoint Analysis From Author

Posted by MatthewTenan on 14 Feb 2019 at 11:34 GMT