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Obstructive Sleep Apnea Home-Monitoring Using a Commercial Wearable Device.
Mokhtaran, Mehrshad; Sacchi, Lucia; Tibollo, Valentina; Risi, Irene; Ramella, Vittoria; Quaglini, Silvana; Fanfulla, Francesco.
Afiliação
  • Mokhtaran M; Biomedical Informatics Laboratory, Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
  • Sacchi L; Biomedical Informatics Laboratory, Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
  • Tibollo V; LISRC Laboratory, IRCCS ICS Maugeri, Pavia, Italy.
  • Risi I; Sleep Medicine Unit, IRCCS ICS Maugeri, Pavia, Italy.
  • Ramella V; Biomedical Informatics Laboratory, Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
  • Quaglini S; Biomedical Informatics Laboratory, Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
  • Fanfulla F; Sleep Medicine Unit, IRCCS ICS Maugeri, Pavia, Italy.
Stud Health Technol Inform ; 290: 522-525, 2022 Jun 06.
Article em En | MEDLINE | ID: mdl-35673070
ABSTRACT
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Apneia Obstrutiva do Sono / Dispositivos Eletrônicos Vestíveis Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Stud Health Technol Inform Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Apneia Obstrutiva do Sono / Dispositivos Eletrônicos Vestíveis Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: Stud Health Technol Inform Ano de publicação: 2022 Tipo de documento: Article