Obstructive Sleep Apnea Home-Monitoring Using a Commercial Wearable Device.


Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
06 Jun 2022
Historique:
entrez: 8 6 2022
pubmed: 9 6 2022
medline: 10 6 2022
Statut: ppublish

Résumé

Obstructive sleep apnea (OSA) is a common sleep disorder and polysomnography (PSG) is the gold standard for its diagnosis and treatment monitoring. There are nowadays several activity trackers measuring sleep quality through the detection of sleep stages. To allow an easier monitoring of the treatment efficacy at home, this work explores the possibility of using one of those commercial smart-bands. To this aim, we studied the signals provided by PSG and a Fitbit smart-band on 26 consecutive patients, admitted to the hospital after the diagnosis of OSA, and submitted to ventilation or positional treatment. They underwent monitoring for three nights (basal, titration, and control). We developed both a visualization software allowing doctors to visually compare the two hypnograms, and a set of statistics for assessing the concordance of the two methods. Results indicate that Fitbit can detect normal sleep patterns, while it is less able to detect the abnormal ones.

Identifiants

pubmed: 35673070
pii: SHTI220131
doi: 10.3233/SHTI220131
doi:

Types de publication

Journal Article

Langues

eng

Pagination

522-525

Auteurs

Mehrshad Mokhtaran (M)

Biomedical Informatics Laboratory, Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.

Lucia Sacchi (L)

Biomedical Informatics Laboratory, Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.

Valentina Tibollo (V)

LISRC Laboratory, IRCCS ICS Maugeri, Pavia, Italy.

Irene Risi (I)

Sleep Medicine Unit, IRCCS ICS Maugeri, Pavia, Italy.

Vittoria Ramella (V)

Biomedical Informatics Laboratory, Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.

Silvana Quaglini (S)

Biomedical Informatics Laboratory, Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.

Francesco Fanfulla (F)

Sleep Medicine Unit, IRCCS ICS Maugeri, Pavia, Italy.

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Classifications MeSH