ArticleJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2016
Accuracy of Automatic Polysomnography Scoring Using Frontal Electrodes.
Article in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Performance Investigation of Somfit Sleep Staging Algorithm.Nature and science of sleep · 2024Trial
- Exploratory associations of sleep spindles and sleep disordered breathing indices with hippocampal and thalamic volume, and cortical thickness, and cerebrovascular biomarkers among community dwelling older adults: results from the Brain in Motion Study.Sleep advances : a journal of the Sleep Research Society · 2026Article
- Sleep and nocturnal breathing of individuals working over 1-week periods at high altitude: a cross-sectional polysomnographic study.Sleep advances : a journal of the Sleep Research Society · 2025Article
- Association of Novel Sleep EEG Biomarkers with All-Cause Mortality in a Large Community-Based Cohort.Nature and science of sleep · 2025Article
- Validation of a Wireless, Self-Applied Device for Sleep Recording in the Paediatric Population.Nature and science of sleep · 2025Article
- New insights and potential clinical implications of the odds ratio product.Frontiers in neurology · 2023Article
- Sleep calibrates atherosclerotic cardiovascular disease.Nature cardiovascular research · 2022Article
- Statistical uncertainty quantification to augment clinical decision support: a first implementation in sleep medicine.NPJ digital medicine · 2021Article
- Automatic analysis of single-channel sleep EEG in a large spectrum of sleep disorders.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2021Article
- Article
- Mechanism of excessive wake time when associated with obstructive sleep apnea or periodic limb movements.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2020Article
- Automated sleep stage scoring of the Sleep Heart Health Study using deep neural networks.Sleep · 2019Article
- Automatic Sleep Staging in Patients With Obstructive Sleep Apnea Using Single-Channel Frontal EEG.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2019Article
- Expert-level sleep scoring with deep neural networks.Journal of the American Medical Informatics Association : JAMIA · 2018Article
- Opportunities for utilizing polysomnography signals to characterize obstructive sleep apnea subtypes and severity.Physiological measurement · 2018Review
- A State Space and Density Estimation Framework for Sleep Staging in Obstructive Sleep Apnea.IEEE transactions on bio-medical engineering · 2018Article
- Reliability of the American Academy of Sleep Medicine Rules for Assessing Sleep Depth in Clinical Practice.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2018Article
- Large-Scale Automated Sleep Staging.Sleep · 2017Article
- Performance of a New Portable Wireless Sleep Monitor.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2017Article
- Enhancements to the multiple sleep latency test.Nature and science of sleep · 2016Article
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Authors and funding
3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
STUDY
objectivesThe economic cost of performing sleep monitoring at home is a major deterrent to adding sleep data during home studies for investigation of sleep apnea and to investigating non-respiratory sleep complaints. Michele Sleep Scoring System (MSS) is a validated automatic system that utilizes central electroencephalography (EEG) derivations and requires minimal editing. We wished to determine if MSS' accuracy is maintained if frontal derivations are used instead. If confirmed, home sleep monitoring would not require home setup or lengthy manual scoring by technologists.
methodsOne hundred two polysomnograms (PSGs) previously recorded from patients with assorted sleep disorders were scored using MSS once with central and once with frontal derivations. Total sleep time, sleep/stage R sleep onset latencies, awake time, time in different sleep stages, arousal/awakening index and apnea-hypopnea index were compared. In addition, odds ratio product (ORP), a continuous index of sleep depth/quality (Sleep 2015;38:641-54), was generated for every 30-sec epoch in each PSG and epoch-by-epoch comparison of ORP was performed.
resultsIntraclass correlation coefficients (ICCs) ranged from 0.89 to 1.0 for the various sleep variables (0.96 ± 0.03). For epoch-by-epoch comparisons of ORP, ICC was > 0.85 in 96 PSGs. Lower values in the other six PSGs were related to signal artifacts in either derivation. ICC for whole-record average ORP was 0.98.
conclusionsMSS is as accurate with frontal as with central EEG derivations. The use of frontal electrodes along with MSS should make it possible to obtain high-quality sleep data without requiring home setup or lengthy scoring time by expert technologists.
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