Obstructive Sleep Apnea Screening Using a Piezo-Electric Sensor
Journal of Korean Medical Science
;
: 893-899, 2017.
Artículo
en Inglés
| 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:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Trastornos del Sueño-Vigilia
/
Ronquido
/
Tamizaje Masivo
/
Sensibilidad y Especificidad
/
Apnea Obstructiva del Sueño
/
Máquina de Vectores de Soporte
/
Frecuencia Cardíaca
/
Métodos
Tipo de estudio:
Estudio diagnóstico
/
Estudio de tamizaje
Límite:
Humanos
Idioma:
Inglés
Revista:
Journal of Korean Medical Science
Año:
2017
Tipo del documento:
Artículo
Similares
MEDLINE
...
LILACS
LIS