Evidence map›Paper›PMID 42181977›Full record

ArticleNeurobiology of sleep and circadian rhythms2026

Analytical amplitude/phase markers for neurological sleep apnea events.

Mark H Myers, Ashwin Subramaniam

Abstract read
In one paragraph

Article in Neurobiology of sleep and circadian rhythms, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Mark H MyersDepartment of Anatomy and Neurobiology, University of Tennessee Health Sciences Center, Memphis, TN, USA.
Ashwin SubramaniamDepartment of Anatomy and Neurobiology, University of Tennessee Health Sciences Center, Memphis, TN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Utilizing non-linear band-pass filtering, dominant wave forms representing apnea events are found to classify unstable ventilation systems. Methods: Data sets were gathered online from the 'St Vincent's University Hospital, Dublin', which consists of PSG recordings from subjects required to be older than 18 years of age, with no known cardiac disease or autonomic dysfunction, and not taking medication known to interfere with heart rate. Twenty-five subjects were selected for this study. An equation that represents the dominance of the amplitude component on apnea waveforms is described as the Amplitude Waveform AW(t) formula. Results: Sensitivity values for CSA events are 82.14%, where specificity/precision within this group is 71.43% (P < 0.0001). The upper and lower bound thresholds that delineate the apnea events have a fitting across all apnea cohorts where R Conclusions: Within the theta bandwidth, the amplitude component of the EEG signal has shown to be the dominant indicator of apnea locations, and the addition of the phase component enables precise identification of apnea events. Significance: Most apnea events occur in clusters that demonstrate a buildup of CO

Indexed as

Analytic amplitudeCentral sleep apneaDiscrete Hilbert TransformationNon-linear band-pass filtering

Identifiers

PMID42181977
PMCPMC13191276

What OpenQuestion holds

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Registered trials

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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.