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Classification and Detection of Breathing Patterns with Wearable Sensors and Deep Learning
Rapid assessment of breathing patterns is important for several emergency medical situations. In this research, we developed a non-invasive breathing analysis system that automatically detects different types of breathing patterns of clinical significance. Accelerometer and gyroscopic data were coll...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7698281/ https://ncbi.nlm.nih.gov/pubmed/33202857 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20226481 |
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