» Articles » PMID: 37362222

Overview of a Sleep Monitoring Protocol for a Large Natural Population

Overview
Journal Phenomics
Publisher Springer
Date 2023 Jun 26
PMID 37362222
Authors
Affiliations
Soon will be listed here.
Abstract

A standard operating procedure for studying the sleep phenotypes in a large population cohort is proposed. It is intended for academic researchers in investigating the sleep phenotypes in conjunction with the clinical sleep disorders assessment guidelines. The protocol refers to the definitive American Academy of Sleep Medicine (AASM) manual for setting polysomnography (PSG) technical specifications, scoring of sleep and associated events, etc. On this basis, it not only provides a standardized procedure of sleep interview, sleep-relevant questionnaires, and laboratory-based PSG test, but also offers a comprehensive process of sleep data analysis, phenotype extraction, and data storage. Both the objective sleep data recorded by PSG test and subjective sleep information obtained by the sleep interview and sleep questionnaires are involved in the data acquisition procedure. Subsequently, sleep phenotypes can be characterized by observable/inconspicuous physiological patterns during sleep from PSG test or can be marked by sleeping habits like sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, daytime dysfunction, etc., from sleep interview or questionnaires derived. In addition, solutions to the problems that may be encountered during the protocol are summarized and addressed. With the protocol, it can significantly improve scientific research efficiency and reduce unnecessary workload in large population cohort studies. Moreover, it is also expected to provide a valuable reference for researchers to conduct systematic sleep research.

Citing Articles

Outlier Handling Strategy of Ensembled-Based Sequential Convolutional Neural Networks for Sleep Stage Classification.

Zhou W, Zhu H, Chen W, Chen C, Xu J Bioengineering (Basel). 2025; 11(12.

PMID: 39768044 PMC: 11673830. DOI: 10.3390/bioengineering11121226.


A systematic review and meta-analysis on light therapy for sleep disorders in shift workers.

Zhao C, Li N, Miao W, He Y, Lin Y Sci Rep. 2025; 15(1):134.

PMID: 39747347 PMC: 11696139. DOI: 10.1038/s41598-024-83789-3.


A Robust Gaze Estimation Approach via Exploring Relevant Electrooculogram Features and Optimal Electrodes Placements.

Zeng Z, Tao L, Zhu H, Zhu Y, Meng L, Fan J IEEE J Transl Eng Health Med. 2023; 12:56-65.

PMID: 38088999 PMC: 10712680. DOI: 10.1109/JTEHM.2023.3320713.


Neonatal Seizure Detection Using a Wearable Multi-Sensor System.

Chen H, Wang Z, Lu C, Shu F, Chen C, Wang L Bioengineering (Basel). 2023; 10(6).

PMID: 37370589 PMC: 10294985. DOI: 10.3390/bioengineering10060658.


The Effect of Coupled Electroencephalography Signals in Electrooculography Signals on Sleep Staging Based on Deep Learning Methods.

Zhu H, Fu C, Shu F, Yu H, Chen C, Chen W Bioengineering (Basel). 2023; 10(5).

PMID: 37237643 PMC: 10215192. DOI: 10.3390/bioengineering10050573.

References
1.
Spitzer R, Kroenke K, Williams J, Lowe B . A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. 2006; 166(10):1092-7. DOI: 10.1001/archinte.166.10.1092. View

2.
Ononye T, Nguyen K, Brewer E . Implementing protocol for obstructive sleep apnea screening in the primary care setting. Appl Nurs Res. 2019; 46:67-71. DOI: 10.1016/j.apnr.2019.02.005. View

3.
Salles C, Mascarenhas Barbosa H . COVID-19 and obstructive sleep apnea. J Clin Sleep Med. 2020; 16(9):1647. PMC: 7970613. DOI: 10.5664/jcsm.8606. View

4.
Magalang U, Chen N, Cistulli P, Fedson A, Gislason T, Hillman D . Agreement in the scoring of respiratory events and sleep among international sleep centers. Sleep. 2013; 36(4):591-6. PMC: 3612261. DOI: 10.5665/sleep.2552. View

5.
Shiferaw B, Downey L, Westlake J, Stevens B, Rajaratnam S, Berlowitz D . Stationary gaze entropy predicts lane departure events in sleep-deprived drivers. Sci Rep. 2018; 8(1):2220. PMC: 5797225. DOI: 10.1038/s41598-018-20588-7. View