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

Author:

Liu Shuo,Han Jing,Puyal Estela Laporta,Kontaxis Spyridon,Sun Shaoxiong,Locatelli Patrick,Dineley Judith,Pokorny Florian B.,Costa Gloria Dalla,Leocani Letizia,Guerrero Ana Isabel,Nos Carlos,Zabalza Ana,Sørensen Per Soelberg,Buron Mathias,Magyari Melinda,Ranjan Yatharth,Rashid Zulqarnain,Conde Pauline,Stewart Callum,Folarin Amos A,Dobson Richard JB,Bailón Raquel,Vairavan Srinivasan,Cummins Nicholas,Narayan Vaibhav A,Hotopf Matthew,Comi Giancarlo,Schuller Björn,Consortium RADAR-CNS

Funder

European Federation of Pharmaceutical Industries and Associations

European Commission

Horizon 2020 Framework Programme

Innovative Medicines Initiative

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference30 articles.

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3. Deep Learning for IoT big data and streaming analytics: a survey;Mohammadi;IEEE Commun. Surv. Tutor.,2018

4. Harnessing wearable device data to improve state-level real-time surveillance of influenza-like illness in the USA: apopulation-based study;Radin;Lancet Digital Health,2020

5. Wearable sensor data and self-reported symptoms for COVID-19 detection;Quer;Nat. Med.,2020

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