Assessing fatigue and sleep in chronic diseases using physiological signals from wearables: A pilot study.
biomedical signal analysis
chronic disease
continuous monitoring
fatigue
immune-mediated inflammatory disease
neurodegenerative diseases
sleep disturbance
wearabe sensors
Journal
Frontiers in physiology
ISSN: 1664-042X
Titre abrégé: Front Physiol
Pays: Switzerland
ID NLM: 101549006
Informations de publication
Date de publication:
2022
2022
Historique:
received:
13
06
2022
accepted:
31
10
2022
entrez:
1
12
2022
pubmed:
2
12
2022
medline:
2
12
2022
Statut:
epublish
Résumé
Problems with fatigue and sleep are highly prevalent in patients with chronic diseases and often rated among the most disabling symptoms, impairing their activities of daily living and the health-related quality of life (HRQoL). Currently, they are evaluated primarily
Identifiants
pubmed: 36452041
doi: 10.3389/fphys.2022.968185
pii: 968185
pmc: PMC9702812
doi:
Types de publication
Journal Article
Langues
eng
Pagination
968185Informations de copyright
Copyright © 2022 Antikainen, Njoum, Kudelka, Branco, Rehman, Macrae, Davies, Hildesheim, Emmert, Reilmann, Janneke van der Woude, Maetzler, Ng, O’Donnell, Van Gassen, Baribaud, Pandis, Manyakov, van Gils, Ahmaniemi and Chatterjee.
Déclaration de conflit d'intérêts
MC, IP, and NM are employees of Janssen Research & Development, LLC and may hold company stocks/stock options. FB is a former Janssen Research & Development, LLC employee and a current employee of Bristol Meyers Squibb and holds company stocks/stock options in both. EA and TA were employed by the VTT Technical Research Centre of Finland Ltd., HN was employed by Sanofi and GVG was employed by Takeda Belgium. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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