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20232026
most citedDeep Learning for Detecting and Early Predicting Chronic Obstructive Pulmonary Disease from Spirogram Time Series

22 citations · 28 across the 20 of their papers we have counts for

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7 papers · 1 filter

eess.SP2026

Wearable Single-Lead ECG Detects Fine-Grained Structural Heart Disease Through Echo-Report Supervision

Chenyang He, Qinghao Zhao, Shun Huang +9

Structural heart disease (SHD) is a primary driver of heart failure and cardiovascular mortality, yet early detection remains constrained by the limited accessibility of echocardio…

eess.SP2026

Aortic Valve Disease Screening from PPG via Physiology-Guided Self-Supervised Learning

Jiaze Wang, Qinghao Zhao, Zizheng Chen +4

Aortic valve disease (AVD) represents a major public health burden, while its diagnosis relies on echocardiography, which is limited by cost and specialist expertise, restricting s…

eess.SP2026

AnyECG: Evolved ECG Foundation Model for Holistic Health Profiling

Jun Li, Hongling Zhu, Yujie Xiao +8

Background: Artificial intelligence enabled electrocardiography (AI-ECG) has demonstrated the ability to detect diverse pathologies, but most existing models focus on single diseas…

eess.SP2025

MEETI: A Multimodal ECG Dataset from MIMIC-IV-ECG with Signals, Images, Features and Interpretations

Deyun Zhang, Xiang Lan, Shijia Geng +4

Electrocardiogram (ECG) plays a foundational role in modern cardiovascular care, enabling non-invasive diagnosis of arrhythmias, myocardial ischemia, and conduction disorders. Whil…

eess.SP2025

On-device Computation of Single-lead ECG Parameters for Real-time Remote Cardiac Health Assessment: A Real-world Validation Study

Sumei Fan, Deyun Zhang, Yue Wang +9

Accurate, continuous out-of-hospital electrocardiogram (ECG) parameter measurement is vital for real-time cardiac health monitoring and telemedicine. On-device computation of singl…

eess.SP2025

Artificial Intelligence-derived Photoplethysmography Age as a Digital Biomarker for Cardiovascular Health

Guangkun Nie, Qinghao Zhao, Gongzheng Tang +2

Background: Photoplethysmography (PPG), increasingly available through wearable devices, provides a non-invasive means of monitoring human hemodynamics. In this study, we introduce…

eess.SP2024★ 1 cited

A Deep Learning Method for Beat-Level Risk Analysis and Interpretation of Atrial Fibrillation Patients during Sinus Rhythm

Jun Lei, Yuxi Zhou, Xue Tian +5

Atrial Fibrillation (AF) is a common cardiac arrhythmia. Many AF patients experience complications such as stroke and other cardiovascular issues. Early detection of AF is crucial.…