New Rule-Based Algorithm for Real-Time Detecting Sleep Apnea and Hypopnea Events Using a Nasal Pressure Signal.

Lee, Hyoki; Park, Jonguk; Kim, Hojoong; Lee, Kyoung-Joung

Lee, Hyoki; Park, Jonguk; Kim, Hojoong; Lee, Kyoung-Joung.

Afiliação

Lee H; Interdisciplinary Consortium on Advanced Motion Performance, Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, USA.
Park J; Department of Biomedical Engineering, Yonsei University, Wonju, Republic of Korea.
Kim H; Division of Pulmonary and Critical Care Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Lee KJ; Department of Biomedical Engineering, Yonsei University, Wonju, Republic of Korea. lkj5809@yonsei.ac.kr.

J Med Syst ; 40(12): 282, 2016 Dec.

Article em En | MEDLINE | ID: mdl-27787786

Assuntos

Algoritmos; Síndromes da Apneia do Sono/diagnóstico; Adulto; Idoso; Feminino; Humanos; Masculino; Pessoa de Meia-Idade; Polissonografia; Reprodutibilidade dos Testes

Palavras-chave

Apnea; Hypopnea; Nasal pressure signal; Real-time detection

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Base de dados: MEDLINE Assunto principal: Síndromes da Apneia do Sono / Algoritmos Tipo de estudo: Guideline / Prognostic_studies Limite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2016 Tipo de documento: Article

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