All data is available as a ZIP archive. [21/21]
When using this resource, please cite:
@article{zhang2026meeti,
title={Meeti: A multimodal ecg dataset from mimic-iv-ecg with signals, images, features and interpretations},
author={Zhang, Deyun and Lan, Xiang and Geng, Shijia and Zhao, Qinghao and Fan, Sumei and Feng, Mengling and Hong, Shenda},
journal={Scientific Data},
year={2026},
publisher={Nature Publishing Group UK London}
}
AbstractElectrocardiograms (ECGs) are essential for… See the full description on the dataset page:
https://huggingface.co/datasets/PKUDigitalHealth/MEETI.
