A Survey of Augmentation Techniques for Enhancing ECG Representation through Self-Supervised Contrastive Learning
- DOI
- 10.22489/cinc.2024.223
- Published
- 2024-12-01
- Container
- Computing in Cardiology Conference (CinC)
- Publisher
- Computing in Cardiology
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.22489/cinc.2024.223,
title = {A Survey of Augmentation Techniques for Enhancing ECG Representation through Self-Supervised Contrastive Learning},
author = {Deekshith Reddy Dade and Jake Bergquist and Rob MacLeod and Ravi Ranjan and Benjamin A. Steinberg and Tolga Tasdizen},
year = {2024},
journal = {Computing in Cardiology Conference (CinC)},
doi = {10.22489/cinc.2024.223},
url = {https://doi.org/10.22489/cinc.2024.223}
}RIS
TY - JOUR TI - A Survey of Augmentation Techniques for Enhancing ECG Representation through Self-Supervised Contrastive Learning AU - Deekshith Reddy Dade AU - Jake Bergquist AU - Rob MacLeod AU - Ravi Ranjan AU - Benjamin A. Steinberg AU - Tolga Tasdizen PY - 2024 JO - Computing in Cardiology Conference (CinC) DO - 10.22489/cinc.2024.223 UR - https://doi.org/10.22489/cinc.2024.223 ER -
APA
Dade, D. R., Bergquist, J., MacLeod, R., Ranjan, R., Steinberg, B. A., & Tasdizen, T. (2024). A Survey of Augmentation Techniques for Enhancing ECG Representation through Self-Supervised Contrastive Learning. Computing in Cardiology Conference (CinC). https://doi.org/10.22489/cinc.2024.223
Source records
- crossref · retrieved 2026-09-26T06:07:32.422Z