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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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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. |
format | Online Article Text |
id | pubmed-9048076 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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