Towards detecting pneumonia progression in COVID-19 patients by monitoring sleep disturbance using data streams of non-invasive sensor networks

1. Dimitrievski, A.
2. Zdravevski, E.
3. Lameski, P.
4. Villasana, M.V.
5. Miguel Pires, I.
6. Garcia, N.M.
7. Flórez-Revuelta, F.
8. Trajkovik, V.

Export

Export

×

MLA

modern-language-association

APA

apa

Chicago

chicago-fullnote-bibliography

Harvard

harvard-cite-them-right

Vancouver

vancouver-author-date

---

RIS BibTex

Export

×

This document cannot be exported because it belongs to another portal.

Full text

lock_openFull text externo

DOI: 10.3390/S21093030 GOOGLE SCHOLAR lock_openOpen access editor

Data source: Scopus