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 res...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Elsevier
2022-01-01
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Series: | MethodsX |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2215016122000668 |
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author | H. Kloefkorn L.M. Aiani S. Hochman N.P. Pedersen |
author_facet | H. Kloefkorn L.M. Aiani S. Hochman N.P. Pedersen |
author_sort | H. Kloefkorn |
collection | DOAJ |
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. |
first_indexed | 2024-04-12T02:19:27Z |
format | Article |
id | doaj.art-d6226cff8f0647a6a5459850a9f4a9fb |
institution | Directory Open Access Journal |
issn | 2215-0161 |
language | English |
last_indexed | 2024-04-12T02:19:27Z |
publishDate | 2022-01-01 |
publisher | Elsevier |
record_format | Article |
series | MethodsX |
spelling | doaj.art-d6226cff8f0647a6a5459850a9f4a9fb2022-12-22T03:52:10ZengElsevierMethodsX2215-01612022-01-019101682Scoring sleep using respiration and movement-based featuresH. Kloefkorn0L.M. Aiani1S. Hochman2N.P. Pedersen3Department of Physiology, School of Medicine, Emory University, 615 Michael Street, Atlanta, GA 30033, United States; Corresponding author.Department of Neurology, School of Medicine, Emory University, Atlanta, GA, United StatesDepartment of Physiology, School of Medicine, Emory University, 615 Michael Street, Atlanta, GA 30033, United StatesDepartment of Neurology, School of Medicine, Emory University, Atlanta, GA, United StatesRules 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.http://www.sciencedirect.com/science/article/pii/S2215016122000668Sleep Scoring Using Respiration- and Movement-Based Features |
spellingShingle | H. Kloefkorn L.M. Aiani S. Hochman N.P. Pedersen Scoring sleep using respiration and movement-based features MethodsX Sleep Scoring 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 | Sleep Scoring Using Respiration- and Movement-Based Features |
url | http://www.sciencedirect.com/science/article/pii/S2215016122000668 |
work_keys_str_mv | AT hkloefkorn scoringsleepusingrespirationandmovementbasedfeatures AT lmaiani scoringsleepusingrespirationandmovementbasedfeatures AT shochman scoringsleepusingrespirationandmovementbasedfeatures AT nppedersen scoringsleepusingrespirationandmovementbasedfeatures |