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Scoring sleep using respiration and movement-based features

Rules derived from standard Rechtschaffen and Kales criteria were developed to accurately score rodent sleep into wake, rapid eye movement (REM) sleep, and non-REM sleep using movements detected by non-contact electric field (EF) sensors. • Using this method, rodent sleep can be scored using only re...

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Detalles Bibliográficos
Autores principales: Kloefkorn, H., Aiani, L.M., Hochman, S., Pedersen, N.P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9048076/
https://www.ncbi.nlm.nih.gov/pubmed/35492211
http://dx.doi.org/10.1016/j.mex.2022.101682
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author Kloefkorn, H.
Aiani, L.M.
Hochman, S.
Pedersen, N.P.
author_facet Kloefkorn, H.
Aiani, L.M.
Hochman, S.
Pedersen, N.P.
author_sort Kloefkorn, H.
collection PubMed
description Rules derived from standard Rechtschaffen and Kales criteria were developed to accurately score rodent sleep into wake, rapid eye movement (REM) sleep, and non-REM sleep using movements detected by non-contact electric field (EF) sensors. • Using this method, rodent sleep can be scored using only respiratory and gross body movements as a validated, non-invasive alternative to electrode techniques. • The methodology and rules established for EF sensor-based sleep scoring were easily learned and implemented. • Examples of expert-scored files are included here to help novice scorers self-train to score sleep. Though validated in mice, sleep scoring using respiratory movements has the potential for application in other species and through other movement-based technologies beyond EF sensors.
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spelling pubmed-90480762022-04-29 Scoring sleep using respiration and movement-based features Kloefkorn, H. Aiani, L.M. Hochman, S. Pedersen, N.P. MethodsX Method Article Rules derived from standard Rechtschaffen and Kales criteria were developed to accurately score rodent sleep into wake, rapid eye movement (REM) sleep, and non-REM sleep using movements detected by non-contact electric field (EF) sensors. • Using this method, rodent sleep can be scored using only respiratory and gross body movements as a validated, non-invasive alternative to electrode techniques. • The methodology and rules established for EF sensor-based sleep scoring were easily learned and implemented. • Examples of expert-scored files are included here to help novice scorers self-train to score sleep. Though validated in mice, sleep scoring using respiratory movements has the potential for application in other species and through other movement-based technologies beyond EF sensors. Elsevier 2022-03-31 /pmc/articles/PMC9048076/ /pubmed/35492211 http://dx.doi.org/10.1016/j.mex.2022.101682 Text en © 2022 Published by Elsevier B.V. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Method Article
Kloefkorn, H.
Aiani, L.M.
Hochman, S.
Pedersen, N.P.
Scoring sleep using respiration and movement-based features
title Scoring sleep using respiration and movement-based features
title_full Scoring sleep using respiration and movement-based features
title_fullStr Scoring sleep using respiration and movement-based features
title_full_unstemmed Scoring sleep using respiration and movement-based features
title_short Scoring sleep using respiration and movement-based features
title_sort scoring sleep using respiration and movement-based features
topic Method Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9048076/
https://www.ncbi.nlm.nih.gov/pubmed/35492211
http://dx.doi.org/10.1016/j.mex.2022.101682
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