Home monitoring in asthma: towards digital twins.
Journal
Current opinion in pulmonary medicine
ISSN: 1531-6971
Titre abrégé: Curr Opin Pulm Med
Pays: United States
ID NLM: 9503765
Informations de publication
Date de publication:
01 07 2023
01 07 2023
Historique:
medline:
1
6
2023
pubmed:
27
4
2023
entrez:
27
4
2023
Statut:
ppublish
Résumé
We highlight the recent advances in home monitoring of patients with asthma, and show that these advances converge towards the implementation of digital twin systems. Connected devices for asthma are increasingly numerous, reliable and effective: new electronic monitoring devices extend to nebulizers and spacers, are able to assess the quality of the inhalation technique, and to identify asthma attack triggers when they include a geolocation function; environmental data can be acquired from databases and refined by wearable air quality sensors; smartwatches are better validated. Connected devices are increasingly integrated into global monitoring systems. At the same time, machine learning techniques open up the possibility of using the large amount of data collected to obtain a holistic assessment of asthma patients, and social robots and virtual assistants can help patients in the daily management of their asthma. Advances in the internet of things, machine learning techniques and digital patient support tools for asthma are paving the way for a new era of research on digital twins in asthma.
Identifiants
pubmed: 37102597
doi: 10.1097/MCP.0000000000000963
pii: 00063198-202307000-00008
doi:
Types de publication
Review
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
270-276Informations de copyright
Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.
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