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Updated: Sep 13, 2025

Patient Directed Recording of a Bipolar Three-Lead Electrocardiogram using a Smartwatch with ECG Function
Published on: December 11, 2019
Artificial intelligence-enabled single-lead electrocardiogram in early detection of ischemic heart disease
Wen-Hua Song1, Gary Tse1,2, Kang-Yin Chen1
1Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, The Second Hospital of Tianjin Medical University, Tianjin 300211, China.
Abstract:
With the rapid advancement and widespread adoption of new artificial intelligence (AI) technologies, personalized medicine and more accurate diagnosis using medical imaging are now possible. Among its many applications, AI has shown remarkable potential in the analysis of electrocardiograms (ECGs), which provide essential insights into the electrical activity of the heart and allowing early detection of ischemic heart disease (IHD). Notably, single-lead ECG (SLECG) analysis has emerged as a key focus in recent research due to its potential for widespread and efficient screening. This editorial focuses on the latest research progress of AI-enabled SLECG utilized in the diagnosis of IHD.
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