2 citations · 3 across the 5 of their papers we have counts for
5 papers
Large language models in medical time series analysis
Yu Han, Cigdem Beyan, Xiang Zhang +6
Medical time series (MedTS), including electrocardiograms (ECG), electroencephalograms (EEG), photoplethysmography (PPG), and vital-sign recordings, are central to clinical diagnos…
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…
OpenECG: Benchmarking ECG Foundation Models with Public 1.2 Million Records
Zhijiang Wan, Qianhao Yu, Jia Mao +2
This study introduces OpenECG, a large-scale benchmark of 1.2 million 12-lead ECG recordings from nine centers, to evaluate ECG foundation models (ECG-FMs) trained on public datase…
A Systematic Review on Foundation Models for Electrocardiogram Analysis: Initial Strides and Expansive Horizons
Yu Han, Vittorio Murino, Xiaofeng Liu +2
Electrocardiogram (ECG) is widely used in healthcare applications, such as arrhythmia detection and sleep monitoring, making accurate ECG analysis critically essential. Traditional…
Deep Learning for Personalized Electrocardiogram Diagnosis: A Review
Cheng Ding, Tianliang Yao, Chenwei Wu +1
The electrocardiogram (ECG) remains a fundamental tool in cardiac diagnostics, yet its interpretation traditionally reliant on the expertise of cardiologists. The emergence of deep…