most citedSelf-Alignment Learning to Improve Myocardial Infarction Detection from Single-Lead ECG

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eess.SP2026

Smartwatch Photoplethysmography-Derived Heart Age via ECG-Guided Cross-Modal Pretraining as a Digital Biomarker of Vascular Aging

Donglin Xie, Xueying Gui, Yutian Zhu +9

Digital biomarkers of cardiovascular aging, often termed heart or vascular age, have been widely studied, but most rely on resting electrocardiography (ECG), imaging, or specialize…

eess.SP2026

Holter-to-Sleep: AI-Enabled Repurposing of Single-Lead ECG for Sleep Phenotyping

Donglin Xie, Qingshuo Zhao, Jingyu Wang +9

Sleep disturbances are tightly linked to cardiovascular risk, yet polysomnography (PSG)-the clinical reference standard-remains resource-intensive and poorly suited for multi-night…

eess.SP2025★ 1 cited

Self-Alignment Learning to Improve Myocardial Infarction Detection from Single-Lead ECG

Jiarui Jin, Xiaocheng Fang, Haoyu Wang +5

Myocardial infarction is a critical manifestation of coronary artery disease, yet detecting it from single-lead electrocardiogram (ECG) remains challenging due to limited spatial i…

eess.SP2025

Artificial Intelligence-derived Cardiotocography Age as a Digital Biomarker for Predicting Future Adverse Pregnancy Outcomes

Jinshuai Gu, Zenghui Lin, Jingying Ma +9

Cardiotocography (CTG) is a low-cost, non-invasive fetal health assessment technique used globally, especially in underdeveloped countries. However, it is currently mainly used to…

eess.SP2025

Simultaneous Polysomnography and Cardiotocography Reveal Temporal Correlation Between Maternal Obstructive Sleep Apnea and Fetal Hypoxia

Jingyu Wang, Donglin Xie, Jingying Ma +17

Background: Obstructive sleep apnea syndrome (OSAS) during pregnancy is common and can negatively affect fetal outcomes. However, studies on the immediate effects of maternal hypox…