Scoring sleep using respiration and movement-based features

• Type of Material: Article
• Authors: H Kloefkorn, Emory University School of Medicine; LM Aiani, Emory University School of Medicine; Shawn Hochman, Emory University; Nigel Pedersen, Emory University
• Language: English
• Date: 2022-01-01
• Publisher: Elsevier B.V.
• Publication Version: Final Published Version
• Copyright Statement: © 2022 Published by Elsevier B.V.
• License: Creative Commons Attribution 4.0 International
• Final Published Version (URL): http://dx.doi.org/10.1016/j.mex.2022.101682
• Title of Journal or Parent Work: MethodsX
• Volume: 9
• Start Page: 101682
• End Page: 101682
• Grant/Funding Information: This work was supported by grants from the Craig H. Nielsen Foundation (to SH) and the NIH (K08NS105929 to NPP and 5k12-Gm000680 to HK).
• Keywords: Rodent; Sleep scoring; Noninvasive; Electric field sensor
• Research Categories: Health Sciences, Medicine and Surgery

Abstract

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.