Abstract
A method based on non-stationary state-space modelling is presented for the dynamical evaluation of systematic oscillations occurring in heart rate (HR) signals. The state-space modelling is performed by making use of higher-order cumulants of HR in order to suppress coloured and white Gaussian components, possibly present in the input signal.
| Original language | English |
|---|---|
| Title of host publication | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
| Editors | Anon |
| Pages | 191-192 |
| Number of pages | 2 |
| Volume | 17 |
| Edition | 1 |
| Publication status | Published - 1995 |
| Event | Proceedings of the 1995 IEEE Engineering in Medicine and Biology 17th Annual Conference and 21st Canadian Medical and Biological Engineering Conference. Part 2 (of 2) - Montreal, Can Duration: Sep 20 1995 → Sep 23 1995 |
Other
| Other | Proceedings of the 1995 IEEE Engineering in Medicine and Biology 17th Annual Conference and 21st Canadian Medical and Biological Engineering Conference. Part 2 (of 2) |
|---|---|
| City | Montreal, Can |
| Period | 9/20/95 → 9/23/95 |
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ASJC Scopus subject areas
- Bioengineering
Cite this
Estimating the instantaneous frequencies from heart rate tracings : a state space approach based on higher-order statistics. / Pilgram, B.; Castiglioni, P.; Parati, G.; Di Rienzo, M.
Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings. ed. / Anon. Vol. 17 1. ed. 1995. p. 191-192.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Estimating the instantaneous frequencies from heart rate tracings
T2 - a state space approach based on higher-order statistics
AU - Pilgram, B.
AU - Castiglioni, P.
AU - Parati, G.
AU - Di Rienzo, M.
PY - 1995
Y1 - 1995
N2 - A method based on non-stationary state-space modelling is presented for the dynamical evaluation of systematic oscillations occurring in heart rate (HR) signals. The state-space modelling is performed by making use of higher-order cumulants of HR in order to suppress coloured and white Gaussian components, possibly present in the input signal.
AB - A method based on non-stationary state-space modelling is presented for the dynamical evaluation of systematic oscillations occurring in heart rate (HR) signals. The state-space modelling is performed by making use of higher-order cumulants of HR in order to suppress coloured and white Gaussian components, possibly present in the input signal.
UR - http://www.scopus.com/inward/record.url?scp=0029428828&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0029428828&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0029428828
VL - 17
SP - 191
EP - 192
BT - Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
A2 - Anon, null
ER -