Work

Novel interpretable Feature set extraction and classification for accurate atrial fibrillation detection from ECGs

Year: 2024

Type: article

Source: Computers in Biology and Medicine

DOI: 10.1016/j.compbiomed.2024.108872

Authors: Ruhi Sharmin, Melissa C. Brindise, Jibin Joy Kolliyil, Brett A. Meyers, Jiacheng Zhang, Pavlos P. Vlachos

Institutions: Purdue University West Lafayette, Pennsylvania State University

Language: English

Topic: ECG Monitoring and Analysis

Subfield: Cardiology and Cardiovascular Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: Purdue University, National Institutes of Health, National Institute of Child Health and Human Development, Eunice Kennedy Shriver National Institute of Child Health and Human Development

Awards: An Integrated and Automated Tool for Quantification of Biomechanics in Fetal and Neonatal Echocardiography, G4162590132, G505657806

OpenAlex ID: W4400641325

FWCI: 2.696

Cites: 57

Cited by: 9

Related to: 10