Evidence map›Paper›PMID 42306231›Full record

ArticleEngineering applications of artificial intelligence2025

An explainable deep learning approach for sleep staging in sleep apnea patients across all age subgroups from pulse oximetry signals.

Fernando Vaquerizo-Villar, Gonzalo C Gutiérrez-Tobal, Daniel Álvarez, Adrián Martín-Montero, David Gozal, Roberto Hornero

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Engineering applications of artificial intelligence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Fernando Vaquerizo-VillarDepartment of Anaesthesiology, Hospital Clínico Universitario de Valladolid, Valladolid, Spain.ORCID 0000-0002-5898-2006
Gonzalo C Gutiérrez-TobalBiomedical Engineering Group, University of Valladolid, Valladolid, Spain.ORCID 0000-0002-1237-3424
Daniel ÁlvarezBiomedical Engineering Group, University of Valladolid, Valladolid, Spain.ORCID 0000-0003-1027-2395
Adrián Martín-MonteroBiomedical Engineering Group, University of Valladolid, Valladolid, Spain.
David GozalDepartment of Pediatrics, Joan C. Edwards School of Medicine, Marshall University, 1600 Medical Center Dr, Huntington, WV, 25701, United States of America.
Roberto HorneroBiomedical Engineering Group, University of Valladolid, Valladolid, Spain.

Funding

INSTITUTIONAL CLINICAL AND TRANSLATIONAL SCIENCE AWARDUL1RR024134 · NCRR · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2006 to 2011
$70.4M
Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR024989 · NCRR · CASE WESTERN RESERVE UNIVERSITY · PI DAVIS, PAMELA B · 2007 to 2011
$53.7M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
Zosuquidar trihydrochloride for acute myeloid leukemia &refractory anemiaM01RR000080 · NCRR · UNIVERSITY HOSPITALS OF CLEVELAND · PI DEARBORN, DORR GELLATLY · 1985 to 2007
$22.2M
Outcomes of Sleep Disorders in Older MenR01HL071194 · NHLBI · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI STONE, KATIE L · 2003 to 2013
$12.2M
ASSOCIATION OF SLEEP DISORDERS WITH CARDIOVASCULAR HEALTH ACROSS ETHNIC GROUPSR01HL098433 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI REDLINE, SUSAN S. · 2010 to 2015
$8.2M
Randomized Controlled Study of Adenotonsillectomy for Childhood Sleep ApneaU01HL083075 · NHLBI · CASE WESTERN RESERVE UNIVERSITY · PI REDLINE, SUSAN S. · 2006 to 2010
$7.6M
National Sleep Research Resource (NSRR)R24HL114473 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI REDLINE, SUSAN S., ZHANG, GUO-QIANG · 2013 to 2017
$7.5M
BIOMETRIC-GENETIC ANALYSIS OF CARDIOVASCULAR DISEASET32HL007567 · NHLBI · LOUISIANA STATE UNIV HSC NEW ORLEANS · PI ZHU, XIAOFENG · 1985 to 2021
$6.0M
DATA COORDINATING CENTER FOR SLEEP HEART STUDYU01HL064360 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI DIENER-WEST, MARIE · 1999 to 2007
$4.4M
NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001420NCRR NIH HHS M01 RR000080NCRR NIH HHS UL1 RR024134NCRR NIH HHS UL1 RR024989NHLBI NIH HHS HHSN268201500003CNHLBI NIH HHS HHSN268201500003INHLBI NIH HHS K23 HL004426NHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NHLBI NIH HHS R01 HL046380NHLBI NIH HHS R01 HL070837NHLBI NIH HHS R01 HL070838NHLBI NIH HHS R01 HL070839NHLBI NIH HHS R01 HL070841NHLBI NIH HHS R01 HL070842NHLBI NIH HHS R01 HL070847NHLBI NIH HHS R01 HL070848NHLBI NIH HHS R01 HL071194NHLBI NIH HHS R01 HL098433NHLBI NIH HHS R24 HL114473NHLBI NIH HHS T32 HL007567NHLBI NIH HHS U01 HL053916NHLBI NIH HHS U01 HL053931NHLBI NIH HHS U01 HL053934NHLBI NIH HHS U01 HL053937NHLBI NIH HHS U01 HL053938NHLBI NIH HHS U01 HL053941NHLBI NIH HHS U01 HL063463NHLBI NIH HHS U01 HL064360NHLBI NIH HHS U01 HL083075NHLBI NIH HHS U01 HL083129NIA NIH HHS RF1 AG061824NINR NIH HHS R01 NR002707
6 · The paper itself

Abstract

Deep-learning (DL) approaches have been developed using pulse rate (PR) and blood oxygen saturation (SpO

Indexed as

Age subgroupsDeep learningExplainable artificial intelligenceObstructive sleep apneaPulse oximetrySleep stages

Identifiers

PMID42306231
PMCPMC13268596

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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.