DocumentCode
2205072
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
fYear
2012
fDate
16-18 March 2012
Firstpage
159
Lastpage
160
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioengineering Conference (NEBEC), 2012 38th Annual Northeast
Conference_Location
Philadelphia, PA
ISSN
2160-7001
Print_ISBN
978-1-4673-1141-0
Type
conf
DOI
10.1109/NEBC.2012.6207012
Filename
6207012
Link To Document