A deep learning strategy to estimate the sweat rate per gland from digital sweat sensing
Abstract Sweat sensing technology may enable continuous non-invasive patient monitoring. However, the clinical interpretation of biomarker concentrations in sweat may be hampered by their dependence on the sweat rate per gland. In this paper, we explore deep learning as a method to derive the sweat...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer Nature
2026-02-01
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| coleção: | Discover Sensors |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/s44397-026-00040-6 |
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