Obstructive Sleep Apnea Screening using Nonlinear Characteristics of Overnight Pulse Oximetry Recordings

被引：0

作者：

Schmittendorf, E. ^{[1
]}

Schultheiss, B. ^{[1
]}

Goffart, M. ^{[1
]}

Boehning, N. ^{[2
]}

机构：

[1] Univ Appl Sci Oldenburg Ostfriesland Wilhelmshave, Friedrich Paffrath Str 101, D-26389 Wilhelmshaven, Germany

[2] iDc Inst Telemed & Gesundheitskommun GmbH & Co, Potsdam, Germany

来源：

WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING, VOL 25, PT 4: IMAGE PROCESSING, BIOSIGNAL PROCESSING, MODELLING AND SIMULATION, BIOMECHANICS | 2010年 / 25卷

关键词：

obstructive sleep apnea; pulse oximetry; nonlinear analysis; central tendency measure;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Nonlinear signal processing methods were applied to oxygen saturation signals obtained from overnight pulse oximetry for 84 patients diagnosed for obstructive sleep apnea (OSA) and 58 healthy controls. The central tendency measure (CTM) was calculated and used to classify patients and controls. A modified CTM approach was developed in order to include the quality of apnea events into the evaluation. With a sensitivity of 100% and a specificity of 98.6% our study showed that nonlinear characteristics can provide valuable additional information for OSA diagnosis.

引用

页码：724 / 727

页数：4

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