Obstructive Sleep Apnea Screening Using a Piezo-Electric Sensor
Journal of Korean Medical Science
; : 893-899, 2017.
Article
en En
| WPRIM
| ID: wpr-118519
Biblioteca responsable:
WPRO
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.
Palabras clave
Texto completo:
1
Índice:
WPRIM
Asunto principal:
Trastornos del Sueño-Vigilia
/
Ronquido
/
Tamizaje Masivo
/
Sensibilidad y Especificidad
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Apnea Obstructiva del Sueño
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Máquina de Vectores de Soporte
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Frecuencia Cardíaca
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Métodos
Tipo de estudio:
Diagnostic_studies
/
Screening_studies
Límite:
Humans
Idioma:
En
Revista:
Journal of Korean Medical Science
Año:
2017
Tipo del documento:
Article