Obstructive Sleep Apnea Screening Using a Piezo-Electric Sensor
Journal of Korean Medical Science
; : 893-899, 2017.
Article
in En
| WPRIM
| ID: wpr-118519
Responsible library:
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.
Key words
Full text:
1
Database:
WPRIM
Main subject:
Sleep Wake Disorders
/
Snoring
/
Mass Screening
/
Sensitivity and Specificity
/
Sleep Apnea, Obstructive
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Support Vector Machine
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Heart Rate
/
Methods
Type of study:
Diagnostic_studies
/
Screening_studies
Limits:
Humans
Language:
En
Journal:
Journal of Korean Medical Science
Year:
2017
Document type:
Article