Sleep apnea diagnosis via single channel ECG feature selection
Document Type
Conference Proceeding
Publication Date
6-29-2012
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). © 2012 IEEE.
Identifier
84862729725 (Scopus)
ISBN
[9781467311410]
Publication Title
2012 38th Annual Northeast Bioengineering Conference Nebec 2012
External Full Text Location
https://doi.org/10.1109/NEBC.2012.6207012
First Page
159
Last Page
160
Recommended Citation
Guruler, H.; Sahin, M.; Ordek, G.; and Sakarya, A. Ferikoglu, "Sleep apnea diagnosis via single channel ECG feature selection" (2012). Faculty Publications. 18208.
https://digitalcommons.njit.edu/fac_pubs/18208
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