A multifaceted approach for obstructive sleep apnea classification from ECG signal using deep learning.
- DOI
- 10.1038/s44323-026-00101-4
- Published
- 2026 Aug 5
- Container
- Npj biological timing and sleep
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- supportingOpen access status: Normalized open-access status: open.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1038/s44323-026-00101-4,
title = {A multifaceted approach for obstructive sleep apnea classification from ECG signal using deep learning.},
author = {Varghese AJ and Gatsonis AN and Agraz M and Oommen V and Parulkar A and Chu A and Karniadakis GE},
year = {2026},
journal = {Npj biological timing and sleep},
doi = {10.1038/s44323-026-00101-4},
url = {https://doi.org/10.1038/s44323-026-00101-4}
}RIS
TY - JOUR TI - A multifaceted approach for obstructive sleep apnea classification from ECG signal using deep learning. AU - Varghese AJ AU - Gatsonis AN AU - Agraz M AU - Oommen V AU - Parulkar A AU - Chu A AU - Karniadakis GE PY - 2026 JO - Npj biological timing and sleep DO - 10.1038/s44323-026-00101-4 UR - https://doi.org/10.1038/s44323-026-00101-4 ER -
APA
AJ, V., AN, G., M, A., V, O., A, P., A, C., & GE, K. (2026). A multifaceted approach for obstructive sleep apnea classification from ECG signal using deep learning.. Npj biological timing and sleep. https://doi.org/10.1038/s44323-026-00101-4
Source records
- pubmed · retrieved 2026-09-25T17:59:17.960Z