1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.LG2025
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…
eess.SP2024
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…
eess.SP2024★ 1 cited
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…