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A signal EMerGes from the noise
In this issue of Cell Reports Methods, Osanai et al. report an innovative approach to extract an electromyography (EMG) signal from multi-channel local field potential (LFP) recordings using independent component analysis (ICA). This ICA-based approach offers precise and stable long-term behavioral...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326433/ https://www.ncbi.nlm.nih.gov/pubmed/37426754 http://dx.doi.org/10.1016/j.crmeth.2023.100510 |
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author | He, Hongshen McHugh, Thomas J. |
author_facet | He, Hongshen McHugh, Thomas J. |
author_sort | He, Hongshen |
collection | PubMed |
description | In this issue of Cell Reports Methods, Osanai et al. report an innovative approach to extract an electromyography (EMG) signal from multi-channel local field potential (LFP) recordings using independent component analysis (ICA). This ICA-based approach offers precise and stable long-term behavioral assessment, eliminating the need for direct muscular recordings. |
format | Online Article Text |
id | pubmed-10326433 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-103264332023-07-08 A signal EMerGes from the noise He, Hongshen McHugh, Thomas J. Cell Rep Methods Preview In this issue of Cell Reports Methods, Osanai et al. report an innovative approach to extract an electromyography (EMG) signal from multi-channel local field potential (LFP) recordings using independent component analysis (ICA). This ICA-based approach offers precise and stable long-term behavioral assessment, eliminating the need for direct muscular recordings. Elsevier 2023-06-26 /pmc/articles/PMC10326433/ /pubmed/37426754 http://dx.doi.org/10.1016/j.crmeth.2023.100510 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Preview He, Hongshen McHugh, Thomas J. A signal EMerGes from the noise |
title | A signal EMerGes from the noise |
title_full | A signal EMerGes from the noise |
title_fullStr | A signal EMerGes from the noise |
title_full_unstemmed | A signal EMerGes from the noise |
title_short | A signal EMerGes from the noise |
title_sort | signal emerges from the noise |
topic | Preview |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326433/ https://www.ncbi.nlm.nih.gov/pubmed/37426754 http://dx.doi.org/10.1016/j.crmeth.2023.100510 |
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