ArticleSleep & breathing = Schlaf & Atmung2010
Validation of ECG-derived sleep architecture and ventilation in sleep apnea and chronic fatigue syndrome.
Article in Sleep & breathing = Schlaf & Atmung, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03268590 (Hyperoxia), which is not on this map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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.
Hyperoxia: An Unrecognized Mechanism for Inducing "Hypoxia-Like" Symptoms
Who cites it
4 citing papers in PubMed.
- Development and Validation of Embedded Device for Electrocardiogram Arrhythmia Empowered with Transfer Learning.Computational intelligence and neuroscience · 2022Article
- Validation of Contact-Free Sleep Monitoring Device with Comparison to Polysomnography.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2017Article
- Article
- ECG signal analysis for the assessment of sleep-disordered breathing and sleep pattern.Medical & biological engineering & computing · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeNewly developed algorithms putatively derive measures of sleep, wakefulness, and respiratory disturbance index (RDI) through detailed analysis of heart rate variability (HRV). Here, we establish levels of agreement for one such algorithm through comparative analysis of HRV-derived values of sleep-wake architecture and RDI with those calculated from manually scored polysomnographic (PSG) recordings.
methodsArchived PSG data collected from 234 subjects who participated in a 3-day, 2-night study characterizing polysomnographic traits of chronic fatigue syndrome were scored manually. The electrocardiogram and pulse oximetry channels were scored separately with a novel scoring algorithm to derive values for wakefulness, sleep architecture, and RDI.
resultsFour hundred fifty-four whole-night PSG recordings were acquired, of which, 410 were technically acceptable. Comparative analyses demonstrated no difference for total minutes of sleep, wake, NREM, REM, nor sleep efficiency generated through manual scoring with those derived through HRV analyses. When NREM sleep was further partitioned into slow-wave sleep (stages 3-4) and light sleep (stages 1-2), values calculated through manual scoring differed significantly from those derived through HRV analyses. Levels of agreement between RDIs derived through the two methods revealed an R = 0.89. The Bland-Altman approach for determining levels of agreement between RDIs generated through manual scoring with those derived through HRV analysis revealed a mean difference of -0.7 +/- 8.8 (mean +/- two standard deviations).
conclusionWe found no difference between values of wakefulness, sleep, NREM, REM sleep, and RDI calculated from manually scored PSG recordings with those derived through analyses of HRV.
Indexed as
Identifiers
19816726What OpenQuestion holds
Registered trials
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.