Obstructive Sleep Apnea Identification by Heart Rate Features Derived from Intrinsic Mode Function

Kang Ming Chang; Sih Huei Chen

doi:10.4028/www.scientific.net/AMM.284-287.1691

Paper Titles

Study of Quality Evaluation Indexes in Filtered ECG Signal
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Spatial Imaging of the Human Tympanic Membrane
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Solitary Pulmonary Nodule Detection on Thoracic CT Images through Object Continuity Analyses
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Physical Rehabilitation Assistant System Based on Kinect
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Obstructive Sleep Apnea Identification by Heart Rate Features Derived from Intrinsic Mode Function
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MID-Based Instant Transmission of Radiological Images for Emergency Teleconsultation
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Location-Based Service (LBS) Falling-Detection and Alarm System by Smartphone
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Tracking Contrast Agents from Ultrasound Image Using Texture Preserving Optical Flow Estimation
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The Head Shadow Phenomenon Affected by Sound Source: In Vitro Measurement
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 284-287Obstructive Sleep Apnea Identification by Heart...

Obstructive Sleep Apnea Identification by Heart Rate Features Derived from Intrinsic Mode Function

Abstract:

Obstructive sleep apnea (OSA) is one of the most important sleep disorders. The gold standard diagnosis of OSA is overnight PSG examination that is time-consuming and labor intensive. Overnight ECG signal was developed to examine OSA, with easy implementation and portable equipment. There were various ECG derived features used for OSA identification, in this study, intrinsic mode function (IMF) was developed. IMF is a byproduct of Hilbert-Huang transform. IMF decompose original signal into various sub components, due to its complexity. In this study, some novel IMF derived features were used to examine the OSA duration measured from ECG signal, compared with traditional HRV features.