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AI-Driven Sleep Staging Using Instantaneous Heart Rate and Accelerometry: Insights From an Apple Watch Study

IEEE Transactions on Biomedical Engineering(2025)10.1109/tbme.2025.3612158Source: DataRank Database

AI-Driven Sleep Staging Using Instantaneous Heart Rate and Accelerometry: Insights From an Apple Watch Study is a research paper published in IEEE Transactions on Biomedical Engineering (2025). On theSindex it has a DataRank of 0.

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)Impact (FWCI 0.00)OA: greenTopics (36)IDs (PubMed, PMC, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (7)

Yubo Zhang ORCID,Ziyuan Zhou ORCID,Luke Hou,Masoud Malekzadeh ORCID,Aida Behzad

Live enrichment

PubMed:40971274 PMC:PMC12931632 OpenAlex:https://openalex.org/W4414349350

National Institutes of Health

Grant: R21AG068890

National Institutes of Health

Grant: R01AG082354

National Institutes of Health

Grant: P30AG073107

Dreem Jury's Prize

FWCI

0.00

Citation Percentile

0.2%

greenLicense: https://doi.org/10.15223/policy-029

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12931632/

publisherhttp://xplorestaging.ieee.org/ielx8/10/11455515/11173983.pdf?arnumber=11173983

journalhttps://doi.org/10.1109/tbme.2025.3612158

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40971274

Fields of Study

Sleep and Work-Related FatigueMind wandering and attentionHumansMaleHeart RateAdultSleep StagesAccelerometryFemalePolysomnographySignal Processing, Computer-AssistedElectroencephalographyWearable Electronic DevicesYoung AdultMiddle Aged

MeSH Terms

Wearable Electronic DevicesAdultElectroencephalographyFemaleHeart RateHumansMaleMiddle AgedSignal Processing, Computer-AssistedSleep StagesPolysomnographyYoung AdultAccelerometry

Keywords

Sleep (system call)Wearable computerSmartwatchSleep StagesWearable technologyActigraphyPolysomnographySleep medicine