Title :
Sleep apnea diagnosis via single channel ECG feature selection
Author :
Guruler, H. ; Sahin, Mesut ; Ordek, Gokhan ; Ferikoglu, Abdullah
Author_Institution :
Biomed. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
Abstract :
This study presents the classification of obstructive sleep apnea (OSA) disease using commonly used features belonging to time-frequency and non-linear domain of heart rate variability (HRV) analysis and then proposes a better selection of features using correlation matrices (CMs).
Keywords :
correlation methods; diseases; electrocardiography; feature extraction; medical signal processing; signal classification; sleep; time-frequency analysis; correlation matrices; heart rate variability; nonlinear domain; signal classification; single channel ECG feature selection; sleep apnea diagnosis; time-frequency domain; Accuracy; Electrocardiography; Feature extraction; Heart rate variability; Sleep apnea; Time frequency analysis;
Conference_Titel :
Bioengineering Conference (NEBEC), 2012 38th Annual Northeast
Conference_Location :
Philadelphia, PA
Print_ISBN :
978-1-4673-1141-0
DOI :
10.1109/NEBC.2012.6207012
