ArticleJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2018
Reliability of the American Academy of Sleep Medicine Rules for Assessing Sleep Depth in Clinical Practice.
Article in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06174558 (Is My Sleep Tracker Tracking my Sleep? Validation of Two Wearable Fitness Sleep Trackers on Sleep Staging and Nocturnal Hypoxemia in Sleep Medicine Patients Referred for Diagnostic Polysomnogram), which is not on this map. Cited by 35 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Is My Sleep Tracker Tracking my Sleep? Validation of Two Wearable Fitness Sleep Trackers on Sleep Staging and Nocturnal Hypoxemia in Sleep Medicine Patients Referred for Diagnostic Polysomnogram
Who cites it
35 citing papers in PubMed, 64 citations in OpenAlex.
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- Modulation-Based Feature Extraction for Robust Sleep Stage Classification Across Apnea-Based Cohorts.Biosensors · 2026Article
- Beyond Algorithms: The Case for Standardized Reporting in AI Sleep Scoring.Nature and science of sleep · 2026Article
- Obstructive sleep apnea and polysomnographic predictors of neuropsychological performance two years after injury in a prospective cohort of adults with traumatic brain injury.The Clinical neuropsychologist · 2025Article
- Explainable vision transformer for automatic visual sleep staging on multimodal PSG signals.NPJ digital medicine · 2025Article
- What radio waves tell us about sleep!Sleep · 2025Article
- Sleep patterns and risk of chronic disease as measured by long-term monitoring with commercial wearable devices in the All of Us Research Program.Nature medicine · 2024Article
- Validation of sleep-staging accuracy for an in-home sleep electroencephalography device compared with simultaneous polysomnography in patients with obstructive sleep apnea.Scientific reports · 2024Article
- Response to Letter to Editor of Perretti et al. re disorders of arousal and timing of the first period of slow wave sleep: Clinical and forensic implications. Sleep Medicine X 2022:4: 100057.Sleep medicine: X · 2023Article
- Three Contactless Sleep Technologies Compared With Actigraphy and Polysomnography in a Heterogeneous Group of Older Men and Women in a Model of Mild Sleep Disturbance: Sleep Laboratory Study.JMIR mHealth and uHealth · 2023Article
- Article
- Automated Sleep Stages Classification Using Convolutional Neural Network From Raw and Time-Frequency Electroencephalogram Signals: Systematic Evaluation Study.Journal of medical Internet research · 2023Article
- Article
- A two-branch trade-off neural network for balanced scoring sleep stages on multiple cohorts.Frontiers in neuroscience · 2023Article
- Overview of the hypnodensity approach to scoring sleep for polysomnography and home sleep testing.Frontiers in sleep · 2023Review
- Disorders of Arousal and timing of the first period of slow wave sleep: Clinical and forensic implications.Sleep medicine: X · 2022Review
- Article
- Adherence Index: sleep depth and nocturnal hypoventilation predict long-term adherence with positive airway pressure therapy in severe obstructive sleep apnea.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2022Article
- Association Between Sleep Microstructure and Incident Hypertension in a Population-Based Sample: The HypnoLaus Study.Journal of the American Heart Association · 2022Article
- Article
Corrections and comments
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Authors and funding
7 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
STUDY
objectivesThe American Academy of Sleep Medicine has published manuals for scoring polysomnograms that recommend time spent in non-rapid eye movement sleep stages (stage N1, N2, and N3 sleep) be reported. Given the well-established large interrater variability in scoring stage N1 and N3 sleep, we determined the range of time in stage N1 and N3 sleep scored by a large number of technologists when compared to reasonably estimated true values.
methodsPolysomnograms of 70 females were scored by 10 highly trained sleep technologists, two each from five different academic sleep laboratories. Range and confidence interval (CI = difference between the 5th and 95th percentiles) of the 10 times spent in stage N1 and N3 sleep assigned in each polysomnogram were determined. Average values of times spent in stage N1 and N3 sleep generated by the 10 technologists in each polysomnogram were considered representative of the true values for the individual polysomnogram. Accuracy of different technologists in estimating delta wave duration was determined by comparing their scores to digitally determined durations.
resultsThe CI range of the ten N1 scores was 4 to 39 percent of total sleep time (% TST) in different polysomnograms (mean CI ± standard deviation = 11.1 ± 7.1 % TST). Corresponding range for N3 was 1 to 28 % TST (14.4 ± 6.1 % TST). For stage N1 and N3 sleep, very low or very high values were reported for virtually all polysomnograms by different technologists. Technologists varied widely in their assignment of stage N3 sleep, scoring that stage when the digitally determined time of delta waves ranged from 3 to 17 seconds.
conclusionsManual scoring of non-rapid eye movement sleep stages is highly unreliable among highly trained, experienced technologists. Measures of sleep continuity and depth that are reliable and clinically relevant should be a focus of clinical research.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.