Sleep apnea diagnosis via single channel ECG feature selection

H. Guruler, Mesut Sahin, G. Ordek, A. Ferikoglu Sakarya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

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).

Original languageEnglish (US)
Title of host publication2012 38th Annual Northeast Bioengineering Conference, NEBEC 2012
Pages159-160
Number of pages2
DOIs
StatePublished - Jun 29 2012
Event38th Annual Northeast Bioengineering Conference, NEBEC 2012 - Philadelphia, PA, United States
Duration: Mar 16 2012Mar 18 2012

Other

Other38th Annual Northeast Bioengineering Conference, NEBEC 2012
CountryUnited States
CityPhiladelphia, PA
Period3/16/123/18/12

All Science Journal Classification (ASJC) codes

  • Bioengineering

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