Development and Validation of an Automated Algorithm to Detect Atrial Fibrillation Within Stored Intensive Care Unit Continuous Electrocardiographic Data: Observational Study is a research paper published in JMIR Cardio (2020). On theSindex it has a DataRank of 0. It has been cited 6 times.
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NHLBI NIH HHS
Grant: R01 HL137794
NHLBI NIH HHS
Grant: T32 HL120823
NHLBI NIH HHS
Grant: U54 HL143541
NHLBI NIH HHS
Grant: R01 HL137734
NHLBI NIH HHS
Grant: R01 HL135219
NHLBI NIH HHS
Grant: R01 HL126911
NHLBI NIH HHS
Grant: R01 HL136660
National Institutes of Health
Grant: 1R01HL126911-01A1
Systematic Assessment of Geriatric Elements in Atrial Fibrillation (SAGE-AF)
National Institutes of Health
Grant: 5R01HL136660-03
Automated detection and prediction of atrial fibrillation during sepsis
National Institutes of Health
Grant: 5R01HL137734-04
Smartwatch Monitoring for Atrial Fibrillation After Stroke
National Institutes of Health
Grant: 1R01HL135219-01
Community Surveillance of Coronary Heart Disease
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: 5R01HL137794-03
Detecting bleeding events using EHRs for prediction in Afib
National Institutes of Health
Grant: 5T32HL120823-03
Transdisciplinary Training In Cardiovascular Research
FWCI
0.46
Citation Percentile
0.7%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals