Abstract
Systolic and diastolic pressures are used to define cardiac related health in general medicine. In our present work1, we investigate blood pressure classification based on pressure waveforms using a relatively large non-invasively collected database. Feature selection is required to reduce redundant features in the data set for a better classification. Therefore, a selection method based on an orthogonal transform is used.
Original language | English (US) |
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Pages (from-to) | 122-123 |
Number of pages | 2 |
Journal | Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC |
State | Published - 2003 |
Event | Proceedings of the IEEE 29th Annual Northeast Bioengineering Conference - Newark, NJ, United States Duration: Mar 22 2003 → Mar 23 2003 |
Keywords
- Blood pressure classification
- Feature selection
- Orthogonal decomposition
ASJC Scopus subject areas
- General Chemical Engineering
- Bioengineering