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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Detalles Bibliográficos
Autores principales: McClure, Kristin, Erdreich, Brett, Bates, Jason H. T., McGinnis, Ryan S., Masquelin, Axel, Wshah, Safwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7698281/
https://www.ncbi.nlm.nih.gov/pubmed/33202857
http://dx.doi.org/10.3390/s20226481

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