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 language | English (US) |
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Title of host publication | 2012 38th Annual Northeast Bioengineering Conference, NEBEC 2012 |
Pages | 159-160 |
Number of pages | 2 |
DOIs | |
State | Published - Jun 29 2012 |
Event | 38th Annual Northeast Bioengineering Conference, NEBEC 2012 - Philadelphia, PA, United States Duration: Mar 16 2012 → Mar 18 2012 |
Other
Other | 38th Annual Northeast Bioengineering Conference, NEBEC 2012 |
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Country/Territory | United States |
City | Philadelphia, PA |
Period | 3/16/12 → 3/18/12 |
All Science Journal Classification (ASJC) codes
- Bioengineering