Title
Unconstrained Sleep Apnea Monitoring Using Polyvinylidene Fluoride Film-Based Sensor.
Abstract
We established and tested an unconstrained sleep apnea monitoring method using a polyvinylidene (PVDF) film-based sensor for continuous and accurate monitoring of apneic events occurred during sleep. Twenty-six sleep apnea patients and six normal subjects participated in this study. Subjects' respiratory signals were measured using the PVDF-based sensor during polysomnography. The PVDF sensor comprised a 4x1 array, and a thin silicon pad was placed over the sensor to prevent damage. Total thickness of the merged system was approximately 1.1 mm which was thin enough to prevent the subject from being consciously aware of its presence. It was designed to be placed under subjects' backs and installed between a bed cover and mattress. The proposed method was based on the standard deviation of the PVDF signals, and it was applied to a test set for detecting apneic events. The method's performance was assessed by comparing the results with a sleep physician's manual scoring. The correlation coefficient for the apnea-hypopnea index (AHI) values between the methods was 0.94 (p < 0.001). The areas under the receiver operating curves at three AHI threshold levels (>5, >15, and >20) for sleep apnea diagnosis were 0.98, 0.99, and 0.98, respectively. Formin-by-min apnea detection, the method classified sleep apnea with an average sensitivity of 72.9%, specificity of 90.6%, accuracy of 85.5%, and kappa statistic of 0.60. The developed system and method can be applied to sleep apnea detection in home or ambulatory monitoring.
Year
DOI
Venue
2014
10.1109/TBME.2014.2314452
IEEE Trans. Biomed. Engineering
Keywords
Field
DocType
indexes,si,kappa statistic,patient monitoring,sleep,silicon,statistical analysis
Biomedical engineering,Sleep apnea,Remote patient monitoring,Anesthesia,Apnea,Cohen's kappa,Artificial intelligence,Medicine,Polysomnography,Computer vision,Correlation coefficient,Polyvinylidene fluoride,Standard deviation
Journal
Volume
Issue
ISSN
61
7
0018-9294
Citations 
PageRank 
References 
2
0.50
0
Authors
8
Name
Order
Citations
PageRank
Su-Hwan Hwang1203.08
Hong Ji Lee2325.03
Hee Nam Yoon3295.47
Da Woon Jung4143.54
Yu-Jin G. Lee520.50
Yu-Jin G Lee6173.96
Do-Un Jeong712123.79
Kwang Suk Park826646.43