Determining respiratory rate from photoplethysmogram and electrocardiogram signals using respiratory quality indices and neural networks.
Continuous and non-invasive respiratory rate (RR) monitoring would significantly improve patient outcomes. Currently, RR is under-recorded in clinical environments and is often measured by manually counting breaths. In this work, we investigate the use of respiratory signal quality quantification an...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2021-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0249843&type=printable |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!