Abstract
Non-invasive estimation of baroreflex sensitivity (BRS) is one of major targets of cardiovascular dynamics analyses including the sequence method and the closed loop modeling. However, the closed loop model is known to under-estimate BRS in comparison with that by the sequence method and the vasoactive agent injection. In this paper, BRSs for sleep-waking states are estimated by applying the sequence method to the multivariate time series measured from the actual cardiovascular system. The same estimation is performed to the time series generated by the multivariate autoregressive (MAR) model driven by the innovation process. The result shows the MAR model-based method under-estimates BRS in comparison with that for the actual data. It is suggested that the under-estimation is attributed to non-Gaussian property of blood pressure distribution.
| Original language | English |
|---|---|
| Pages (from-to) | 1613-1614 |
| Number of pages | 2 |
| Journal | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
| Volume | 2 |
| Publication status | Published - 2002 |
| Event | Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) - Houston, TX, United States Duration: 2002 Oct 23 → 2002 Oct 26 |
Keywords
- Baroreflex sensitivity
- Closed loop model
- Sequence method