Abstract
Blood pressure measurement using oscillometry depends solely on the pressure data. In our work, we evaluate features, which are extracted from the oscillometric waveforms. Feature strength and behavior is evaluated by computing standard deviation of errors. Blood pressure is estimated using maximum amplitude pressure algorithm. A large non-invasively collected database is used for this purpose.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 93-94 |
| Number of pages | 2 |
| Journal | Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC |
| Volume | 30 |
| State | Published - 2004 |
| Event | Proceedings of the IEEE 30th Annual Northeast Bioengineering Conference - Springfield, MA, United States Duration: Apr 17 2004 → Apr 18 2004 |
Keywords
- Blood pressure estimation
- Feature evaluation
ASJC Scopus subject areas
- General Chemical Engineering