Abstract
The mutual interactions existing between Heart Rate (HR) and Arterial Blood Pressure (ABP) variability signals are investigated by means of a bivariate, time-variant model. The linear, parametric, closed-loop model, chosen to describe the relationships between HR and ABP spontaneous variability, is updated recursively according to the dynamic variations in the signals. In this way a beat-to-beat description of the interaction of the two signals and a beat-to-beat extraction of the relevant spectral and cross-spectral parameters are obtained. Furthermore, as a result of proper modelisation, a non-invasive measurement of the α-baroceptive gain is extracted, on a beat-to-beat basis. The quantification of these parameter is obtained through an automatic spectral decomposition technique for ARMA model. The parameters achieved from the proposed model are used to investigate episodes of vasovagal syncope. In particular we are interested in a quantitative assessment of the changes of the Autonomic Nervous System (ANS) behavior in the epoch preceding the episode and in the evaluation of ANS role in association with the vasovagal event.
| Original language | English |
|---|---|
| Title of host publication | Computers in Cardiology |
| Publisher | Publ by IEEE |
| Pages | 699-702 |
| Number of pages | 4 |
| ISBN (Print) | 0818654708 |
| Publication status | Published - 1993 |
| Event | Proceedings of the 1993 Conference on Computers in Cardiology - London, UK Duration: Sep 5 1993 → Sep 8 1993 |
Other
| Other | Proceedings of the 1993 Conference on Computers in Cardiology |
|---|---|
| City | London, UK |
| Period | 9/5/93 → 9/8/93 |
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ASJC Scopus subject areas
- Software
- Cardiology and Cardiovascular Medicine
Cite this
Time-variant closed-loop interaction between HR and ABP variability signals during syncope. / Mainardi, L. T.; Bianchi, A. M.; Barbieri, R.; Di Virgilio, V.; Piazza, S.; Furlan, R.; Baselli, G.; Cerutti, S.
Computers in Cardiology. Publ by IEEE, 1993. p. 699-702.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Time-variant closed-loop interaction between HR and ABP variability signals during syncope
AU - Mainardi, L. T.
AU - Bianchi, A. M.
AU - Barbieri, R.
AU - Di Virgilio, V.
AU - Piazza, S.
AU - Furlan, R.
AU - Baselli, G.
AU - Cerutti, S.
PY - 1993
Y1 - 1993
N2 - The mutual interactions existing between Heart Rate (HR) and Arterial Blood Pressure (ABP) variability signals are investigated by means of a bivariate, time-variant model. The linear, parametric, closed-loop model, chosen to describe the relationships between HR and ABP spontaneous variability, is updated recursively according to the dynamic variations in the signals. In this way a beat-to-beat description of the interaction of the two signals and a beat-to-beat extraction of the relevant spectral and cross-spectral parameters are obtained. Furthermore, as a result of proper modelisation, a non-invasive measurement of the α-baroceptive gain is extracted, on a beat-to-beat basis. The quantification of these parameter is obtained through an automatic spectral decomposition technique for ARMA model. The parameters achieved from the proposed model are used to investigate episodes of vasovagal syncope. In particular we are interested in a quantitative assessment of the changes of the Autonomic Nervous System (ANS) behavior in the epoch preceding the episode and in the evaluation of ANS role in association with the vasovagal event.
AB - The mutual interactions existing between Heart Rate (HR) and Arterial Blood Pressure (ABP) variability signals are investigated by means of a bivariate, time-variant model. The linear, parametric, closed-loop model, chosen to describe the relationships between HR and ABP spontaneous variability, is updated recursively according to the dynamic variations in the signals. In this way a beat-to-beat description of the interaction of the two signals and a beat-to-beat extraction of the relevant spectral and cross-spectral parameters are obtained. Furthermore, as a result of proper modelisation, a non-invasive measurement of the α-baroceptive gain is extracted, on a beat-to-beat basis. The quantification of these parameter is obtained through an automatic spectral decomposition technique for ARMA model. The parameters achieved from the proposed model are used to investigate episodes of vasovagal syncope. In particular we are interested in a quantitative assessment of the changes of the Autonomic Nervous System (ANS) behavior in the epoch preceding the episode and in the evaluation of ANS role in association with the vasovagal event.
UR - http://www.scopus.com/inward/record.url?scp=0027850603&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0027850603&partnerID=8YFLogxK
M3 - Conference contribution
SN - 0818654708
SP - 699
EP - 702
BT - Computers in Cardiology
PB - Publ by IEEE
ER -