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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698281/ https://www.ncbi.nlm.nih.gov/pubmed/33202857 http://dx.doi.org/10.3390/s20226481 |