ID: 4348752 GENERALIZABILITY OF DEEP LEARNING BASED AF DETECTION MODEL USING 30-SECOND SINGLE-LEAD ECG FROM CONSUMER-GRADE WEARABLES

AI-based AF detection of single-lead ECG has been well-studied with promising clinical accuracy. While with the variety types of wearable devices and other types of lead-I ECG collection methods, the generalizability of the AI model performance has not been well established from different data source.

Authors

Publication Details

Journal
Heart Rhythm O2
Published
2025-09-01
DOI
https://doi.org/10.1016/j.hroo.2025.07.036
Primary Topic
Consumer Perception and Purchasing Behavior
Type
article
Field-Weighted Citation Impact
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article

ID: 4348752 GENERALIZABILITY OF DEEP LEARNING BASED AF DETECTION MODEL USING 30-SECOND SINGLE-LEAD ECG FROM CONSUMER-GRADE WEARABLES

Amitabh C. Pandey, Yunsung Chung, Fengling Han, Hadi Younes et al.
Heart Rhythm O2
Consumer Perception and Purchasing Behavior
article

ID: 4348752 GENERALIZABILITY OF DEEP LEARNING BASED AF DETECTION MODEL USING 30-SECOND SINGLE-LEAD ECG FROM CONSUMER-GRADE WEARABLES

Amitabh C. Pandey, Yunsung Chung, Fengling Han, Hadi Younes, Cong Zhao, Estelle Taki, Omar Kreidieh, Yingshuo Liu, Ghassan Bidaoui, Chanho Lim, Michel Abou Khalil, Mayana Bsoul, Nassir Marrouche, Mohammad Montaser Atasi, Christian M. Massad, Swati Rao, Yishi Jia, Abboud Hassan
article en

Abstract

AI-based AF detection of single-lead ECG has been well-studied with promising clinical accuracy. While with the variety types of wearable devices and other types of lead-I ECG collection methods, the generalizability of the AI model performance has not been well established from different data source.

Heart Rhythm O2Vol. 6(9)
Openalex Percentile: Top 69%
Consumer Perception and Purchasing Behavior
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