Scoring sleep using respiration and movement-based features

H Kloefkorn; L M Aiani; S Hochman; N P Pedersen

doi:10.1016/j.mex.2022.101682

Scoring sleep using respiration and movement-based features

MethodsX. 2022 Mar 31:9:101682. doi: 10.1016/j.mex.2022.101682. eCollection 2022.

Authors

H Kloefkorn¹, L M Aiani², S Hochman¹, N P Pedersen²

Affiliations

¹ Department of Physiology, School of Medicine, Emory University, 615 Michael Street, Atlanta, GA 30033, United States.
² Department of Neurology, School of Medicine, Emory University, Atlanta, GA, United States.

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.

Keywords: Electric field sensor; Noninvasive; Rodent; Sleep scoring.

Abstract

Grants and funding