TY - GEN
T1 - Sleep apnea diagnosis via single channel ECG feature selection
AU - Guruler, H.
AU - Sahin, M.
AU - Ordek, G.
AU - Sakarya, A. Ferikoglu
PY - 2012
Y1 - 2012
N2 - 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).
AB - 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).
UR - http://www.scopus.com/inward/record.url?scp=84862729725&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84862729725&partnerID=8YFLogxK
U2 - 10.1109/NEBC.2012.6207012
DO - 10.1109/NEBC.2012.6207012
M3 - Conference contribution
AN - SCOPUS:84862729725
SN - 9781467311410
T3 - 2012 38th Annual Northeast Bioengineering Conference, NEBEC 2012
SP - 159
EP - 160
BT - 2012 38th Annual Northeast Bioengineering Conference, NEBEC 2012
T2 - 38th Annual Northeast Bioengineering Conference, NEBEC 2012
Y2 - 16 March 2012 through 18 March 2012
ER -