AriReGen: An Autoregression-Induced Residual Generative Approach for Robust ECG Denoising.
- DOI
- 10.1109/jbhi.2026.3736958
- Published
- 2026 Sep 23
- Container
- IEEE journal of biomedical and health informatics
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/jbhi.2026.3736958,
title = {AriReGen: An Autoregression-Induced Residual Generative Approach for Robust ECG Denoising.},
author = {Qiu J and Chen S and Jin F and Lyu T and Shen G},
year = {2026},
journal = {IEEE journal of biomedical and health informatics},
doi = {10.1109/jbhi.2026.3736958},
url = {https://doi.org/10.1109/jbhi.2026.3736958}
}RIS
TY - JOUR TI - AriReGen: An Autoregression-Induced Residual Generative Approach for Robust ECG Denoising. AU - Qiu J AU - Chen S AU - Jin F AU - Lyu T AU - Shen G PY - 2026 JO - IEEE journal of biomedical and health informatics DO - 10.1109/jbhi.2026.3736958 UR - https://doi.org/10.1109/jbhi.2026.3736958 ER -
APA
J, Q., S, C., F, J., T, L., & G, S. (2026). AriReGen: An Autoregression-Induced Residual Generative Approach for Robust ECG Denoising.. IEEE journal of biomedical and health informatics. https://doi.org/10.1109/jbhi.2026.3736958
Source records
- pubmed · retrieved 2026-09-25T14:50:41.649Z