Obstructive Sleep Apnea Screening Using a Piezo-Electric Sensor
Journal of Korean Medical Science
;
: 893-899, 2017.
Artigo
em Inglês
| WPRIM
| ID: wpr-118519
ABSTRACT
In this study, we propose a novel method for obstructive sleep apnea (OSA) detection using a piezo-electric sensor. OSA is a relatively common sleep disorder. However, more than 80% of OSA patients remain undiagnosed. We investigated the feasibility of OSA assessment using a single-channel physiological signal to simplify the OSA screening. We detected both snoring and heartbeat information by using a piezo-electric sensor, and snoring index (SI) and features based on pulse rate variability (PRV) analysis were extracted from the filtered piezo-electric sensor signal. A support vector machine (SVM) was used as a classifier to detect OSA events. The performance of the proposed method was evaluated on 45 patients from mild, moderate, and severe OSA groups. The method achieved a mean sensitivity, specificity, and accuracy of 72.5%, 74.2%, and 71.5%; 85.8%, 80.5%, and 80.0%; and 70.3%, 77.1%, and 71.9% for the mild, moderate, and severe groups, respectively. Finally, these results not only show the feasibility of OSA detection using a piezo-electric sensor, but also illustrate its usefulness for monitoring sleep and diagnosing OSA.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Transtornos do Sono-Vigília
/
Ronco
/
Programas de Rastreamento
/
Sensibilidade e Especificidade
/
Apneia Obstrutiva do Sono
/
Máquina de Vetores de Suporte
/
Frequência Cardíaca
/
Métodos
Tipo de estudo:
Estudo diagnóstico
/
Estudo de rastreamento
Limite:
Humanos
Idioma:
Inglês
Revista:
Journal of Korean Medical Science
Ano de publicação:
2017
Tipo de documento:
Artigo
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