Towards a resilient e-health system for monitoring and early detection of severity in hospitalized patients during a pandemic

Different mobile applications and smart systems are being developed to increase users’ wellness and happiness. Unfortunately, some of the most recent technological advances in the field of affective computing, Internet of things or service computing have not yet been included in these solutions. In...

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Autores principales: Cañibano, Rodrigo S., Castagno, Santino, Conchillo, Mariano, Chiarotto, Guillermo, Rozas, Claudia, Zanellato, Claudio, Orlandi, Cristina, Balladini, Javier
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2022
Materias:
Ciencias Informáticas
Early severity detection
E-health monitoring
Fault tolerant distributed architecture
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/140661
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-140661
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Early severity detection
E-health monitoring
Fault tolerant distributed architecture
spellingShingle Ciencias Informáticas
Early severity detection
E-health monitoring
Fault tolerant distributed architecture
Cañibano, Rodrigo S.
Castagno, Santino
Conchillo, Mariano
Chiarotto, Guillermo
Rozas, Claudia
Zanellato, Claudio
Orlandi, Cristina
Balladini, Javier
Towards a resilient e-health system for monitoring and early detection of severity in hospitalized patients during a pandemic
topic_facet Ciencias Informáticas
Early severity detection
E-health monitoring
Fault tolerant distributed architecture
description Different mobile applications and smart systems are being developed to increase users’ wellness and happiness. Unfortunately, some of the most recent technological advances in the field of affective computing, Internet of things or service computing have not yet been included in these solutions. In this paper, we briefly present a smart system that analyses the user’s emotions during her/his diary activities and configures mood regulation experiences when she/he comes back at home. These emotion-aware experiences are based on the Spotify music services and are personalised for each particular user considering her/his musical tastes and preferences. Besides, the system integrates an emotion recognition system based on wearables and artificial intelligence techniques. The recognised emotions are then used to determine the user’s mood and to make decisions on the music interventions to be carried out.
format Objeto de conferencia
Objeto de conferencia
author Cañibano, Rodrigo S.
Castagno, Santino
Conchillo, Mariano
Chiarotto, Guillermo
Rozas, Claudia
Zanellato, Claudio
Orlandi, Cristina
Balladini, Javier
author_facet Cañibano, Rodrigo S.
Castagno, Santino
Conchillo, Mariano
Chiarotto, Guillermo
Rozas, Claudia
Zanellato, Claudio
Orlandi, Cristina
Balladini, Javier
author_sort Cañibano, Rodrigo S.
title Towards a resilient e-health system for monitoring and early detection of severity in hospitalized patients during a pandemic
title_short Towards a resilient e-health system for monitoring and early detection of severity in hospitalized patients during a pandemic
title_full Towards a resilient e-health system for monitoring and early detection of severity in hospitalized patients during a pandemic
title_fullStr Towards a resilient e-health system for monitoring and early detection of severity in hospitalized patients during a pandemic
title_full_unstemmed Towards a resilient e-health system for monitoring and early detection of severity in hospitalized patients during a pandemic
title_sort towards a resilient e-health system for monitoring and early detection of severity in hospitalized patients during a pandemic
publishDate 2022
url http://sedici.unlp.edu.ar/handle/10915/140661
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