Obstructive Sleep Apnea Screening Using a Piezo-Electric Sensor
Journal of Korean Medical Science
;
: 893-899, 2017.
Article
in English
| 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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Sleep Wake Disorders
/
Snoring
/
Mass Screening
/
Sensitivity and Specificity
/
Sleep Apnea, Obstructive
/
Support Vector Machine
/
Heart Rate
/
Methods
Type of study:
Diagnostic study
/
Screening study
Limits:
Humans
Language:
English
Journal:
Journal of Korean Medical Science
Year:
2017
Type:
Article
Similar
MEDLINE
...
LILACS
LIS