Research Topic · Peer-Reviewed

Polysomnography

Polysomnography is a comprehensive, multi-channel recording of physiological activity during sleep, used to diagnose and characterize sleep disorders. It simultaneously captures electroencephalography to stage sleep, electrooculography to track eye movements, electromyography to measure muscle tone, electrocardiogra…

Curated from this journal's research 📚 9 peer-reviewed articles cited Cited 68× across the literature 🔖 ISSN 2574-4518 🗓 Reviewed July 2026

Overview

Polysomnography is a comprehensive, multi-channel recording of physiological activity during sleep, used to diagnose and characterize sleep disorders. It simultaneously captures electroencephalography to stage sleep, electrooculography to track eye movements, electromyography to measure muscle tone, electrocardiography for cardiac rhythm, airflow and respiratory effort, and blood oxygen saturation, allowing reconstruction of sleep architecture and detection of events that disrupt it. Its principal application is the identification and grading of sleep-disordered breathing, particularly obstructive sleep apnea, in which repetitive airway collapse produces apneas and hypopneas, oxygen desaturation, and arousals; polysomnography quantifies these through indices of event frequency and is used to assess risk in populations such as individuals with Down syndrome or type 2 diabetes. Beyond apnea, it characterizes other disorders affecting sleep continuity and quality, including narcolepsy and movement-related conditions, and provides objective measures of sleep quality against which interventions can be judged. Because it yields physiological detail unattainable from self-report, polysomnography serves as the reference standard in sleep medicine, complemented by ambulatory and consumer monitoring devices whose accuracy is evaluated against it. The data support diagnosis, severity classification, and treatment evaluation in trials of therapeutic approaches. By integrating neurological, respiratory, and cardiovascular signals across the sleep cycle, polysomnography links the physiology of sleep to its clinical disorders and their cardiometabolic consequences.

Research published in this journal

9 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 9 articles above have been cited 68 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

A sample of recent works citing this journal's research on Polysomnography, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Sleep And Sleep Disorder Research (ISSN 2574-4518).

Journal editorial board
Dragos Octavian Palade · Romania Mauro Manconi · Switzerland Karim Sedky · United States

This page summarises published research for orientation; it is not medical or professional advice.