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Contrastive Self-Supervised Learning for Stress Detection from ECG Data
In recent literature, ECG-based stress assessment has become popular due to its proven correlation to stress and increased accessibility of ECG data through commodity hardware. However, most ECG-based stress assessment models use supervised learning, relying on manually-annotated data. Limited resea...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9404921/ https://www.ncbi.nlm.nih.gov/pubmed/36004899 http://dx.doi.org/10.3390/bioengineering9080374 |