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Fitbeat: COVID-19 estimation based on wristband heart rate using a contrastive convolutional auto-encoder
ArticleAbstract: This study proposes a contrastive convolutional auto-encoder (contrastive CAE), a combined architectPalabras claves:Anomaly detection, Contrastive learning, Convolutional auto-encoder, covid-19, Respiratory tract infectionAutores: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:scopusThe utility of wearable devices in assessing ambulatory impairments of people with multiple sclerosis in free-living conditions
ArticleAbstract: Background and objectives: Multiple sclerosis (MS) is a progressive inflammatory and neurodegeneratiPalabras claves:Ambulatory impairments, Fitbit, Free-living conditions, Machine learning, Multiple Sclerosis, Six-minute walk testAutores:Comi G., Conde P., Cummins N., Dalla Costa G., Dobson R.J., Folarin A.A., Guerrero A.I., Hotopf M., Laiou P., Leocani L., Liu S., Magyari M., Myin-Germeys I., Narayan V.A., Ranjan Y., Raquel Bailón, Rashid Z., Rintala A., Sankesara H., Simblett S.K., Stewart C., Sun S., Sørensen P.S., Vairavan S., Wykes T., Zabalza A., Zhang Y.Fuentes:scopus