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Income in Relation to Psychosocial Factors Among Stroke Survivors using Smartwatches for Atrial Fibrillation Monitoring

Cardiology and Cardiovascular Medicine(2024)10.26502/fccm.92920404Source: DataRank Database

Income in Relation to Psychosocial Factors Among Stroke Survivors using Smartwatches for Atrial Fibrillation Monitoring is a research paper published in Cardiology and Cardiovascular Medicine (2024). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (15 grants)Impact (FWCI 0.00)OA: hybridTopics (27)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (16)

Tyler S. Jones,Joseph Daniel,Jordy Mehawej ORCID,Andreas Filippaios ORCID,Tenes Paul ORCID

Live enrichment

PubMed:39493359 OpenAlex:https://openalex.org/W4403377940

National Institutes of Health

Grant: 5K23HL161432-04

The Role of Highly inflamed Epicardial Adipose Tissue in the Development of Atrial Fibrillation

National Institutes of Health

Grant: 1R01HL135219-01

Community Surveillance of Coronary Heart Disease

National Institutes of Health

Grant: 1F30HL149335-01

Feasibility of Smartwatches for Atrial Fibrillation Detection in Older Adults

National Institutes of Health

Grant: 5R01HL137734-04

Smartwatch Monitoring for Atrial Fibrillation After Stroke

National Institutes of Health

Grant: 3U01HL146382-02S3

RURAL: Risk Underlying Rural Areas Longitudinal Cohort Study

National Institutes of Health

Grant: 1R01HL126911-01A1

Systematic Assessment of Geriatric Elements in Atrial Fibrillation (SAGE-AF)

National Institutes of Health

Grant: 5R01HL137794-03

Detecting bleeding events using EHRs for prediction in Afib

National Institutes of Health

Grant: 5T32HL120823-03

Transdisciplinary Training In Cardiovascular Research

National Institutes of Health

Grant: 1U54HL143541-01

The Center for Advancing Point of Care in Heart, Lung, Blood and Sleep Diseases

National Institutes of Health

Grant: 5R01HL136660-03

Automated detection and prediction of atrial fibrillation during sepsis

NHLBI NIH HHS

Grant: R01 HL126911

NHLBI NIH HHS

Grant: R01 HL137734

NHLBI NIH HHS

Grant: K23 HL161432

NHLBI NIH HHS

Grant: U54 HL143541

NHLBI NIH HHS

Grant: R01 HL137794

FWCI

0.00

Citation Percentile

0.3%

hybridLicense: cc-by

journalhttps://doi.org/10.26502/fccm.92920404

publisherhttps://doi.org/10.26502/fccm.92920404

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39493359

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11529826

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC11529826/pdf/nihms-2028923.pdf

Fields of Study

Atrial Fibrillation Management and OutcomesStroke Rehabilitation and RecoveryCardiac Health and Mental Health03 medical and health sciences0302 clinical medicine

Keywords

PsychosocialSmartwatchAtrial fibrillationStroke (engine)MedicinePhysical medicine and rehabilitationPsychologyCardiologyPsychiatryWearable computerComputer scienceEngineeringPhysical Component Score (PCS)Socioeconomic Status (SES)Short Form Survey (SF-12)Consumer Health Activation Index (CHAI)150610Atrial Fibrillation (AF)Generalized Anxiety Disorder-7 Scale (GAD-7)Mental Component Score (MCS)Article

Sustainable Development Goals

SDG 0: No poverty