Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder

Article

Abstract: This study proposes a contrastive convolutional auto-encoder (contrastive CAE), a combined architect

Palabras claves:

Anomaly detection, Contrastive learning, Convolutional auto-encoder, covid-19, Respiratory tract infection

Autores:

Buron M.D., Comi G., Conde P., Consortium R.A.D.A.R.C.N.S., Costa G.D., Cummins N., Dineley J., Dobson R.J., Folarin A.A., Guerrero A.I., Han J., Hotopf M., Kontaxis S., Leocani L., Liu S., Locatelli P., Magyari M., Narayan V.A., Nos C., Pokorny F.B., Puyal E.L., Ranjan Y., Raquel Bailón, Rashid Z., Schuller B., Stewart C., Sun S., Sørensen P.S., Vairavan S., Zabalza A.

Fuentes:

scopus