Design and use of a Denoising Convolutional Autoencoder for reconstructing electrocardiogram signals at super resolution.
Saved in:
| Title: | Design and use of a Denoising Convolutional Autoencoder for reconstructing electrocardiogram signals at super resolution. |
|---|---|
| Authors: | Lomoio U; Department of Surgical and Medical Sciences, Magna Graecia University of Catanzaro, Italy. Electronic address: ugo.lomoio@unicz.it., Veltri P; DIMES, University of Calabria, Rende, Italy. Electronic address: pierangelo.veltri@dimes.unical.it., Guzzi PH; Department of Surgical and Medical Sciences, Magna Graecia University of Catanzaro, Italy. Electronic address: hguzzi@unicz.it., Liò P; Department of Computer Science and Technology, Cambridge University, Cambridge, United Kingdom. Electronic address: pl219@cam.ac.uk. |
| Source: | Artificial intelligence in medicine [Artif Intell Med] 2025 Feb; Vol. 160, pp. 103058. Date of Electronic Publication: 2024 Dec 28. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Elsevier Science Publishing Country of Publication: Netherlands NLM ID: 8915031 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-2860 (Electronic) Linking ISSN: 09333657 NLM ISO Abbreviation: Artif Intell Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1873-2860 |
|---|---|
| DOI: | 10.1016/j.artmed.2024.103058 |
