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J Korean Med Sci. 2017 Jun;32(6):893-899. doi: 10.3346/jkms.2017.32.6.893.

Obstructive Sleep Apnea Screening Using a Piezo-Electric Sensor.

Author information

1
Department of Biomedical Engineering, School of Health Science, Yonsei University, Wonju, Korea.
2
Department of Biomedical Engineering, School of Health Science, Yonsei University, Wonju, Korea. lkj5809@yonsei.ac.kr.

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.

KEYWORDS:

Obstructive Sleep Apnea; Piezo-Electric Sensor; Pulse Rate Variability; Snoring Index; Support Vector Machine

PMID:
28480645
PMCID:
PMC5426252
DOI:
10.3346/jkms.2017.32.6.893
[Indexed for MEDLINE]
Free PMC Article

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