Abstract
In 13 decerebrate, artificially ventilated cats preganglionic sympathetic outflow to the heart was recorded with ECG and ventilation signal. A novel algorithm was implemented that extracts weighted events representing burst occurrences and their size. A multiple threshold strategy was used to separate bursts. Weighted events yielded count signals. Spectral analysis of the count signal revealed a predominance of a discharge synchronous to heart beat at cardiac frequency (CF≅3 Hz), a ventilation rhythm at the high frequency (HF≅0.3 Hz) of beat-to-beat variability, and in 9 of 13 cats a Mayer's wave lower frequency (LF). The CF component was ∼50% larger in power than both HF and also LF (when present). Spectral analysis at increasing count levels (i.e., with only the events with a weight ≥ the considered level) indicated that all rhythms were carried by burst activity and its modulations. A modulation index of HF over CF, MIHF/CF was extracted from dynamic (i.e., ventilation cycle by ventilation cycle) folded histograms of counts. MIHF/CF was significantly higher in the group without LF (0.65±0.20, mean±SD, n=4) than in that with LF (0.41±0.07, n=9). Burst activity can be a key element in the interactions between cardiovascular variability rhythms.
| Original language | English |
|---|---|
| Title of host publication | Annual Reports of the Research Reactor Institute, Kyoto University |
| Pages | 582-584 |
| Number of pages | 3 |
| Volume | 1 |
| Publication status | Published - 2001 |
| Event | 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Istanbul, Turkey Duration: Oct 25 2001 → Oct 28 2001 |
Other
| Other | 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
|---|---|
| Country | Turkey |
| City | Istanbul |
| Period | 10/25/01 → 10/28/01 |
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Keywords
- Beat-to-beat variability
- Burst activity
- Cardiac rhythm
- Sympathetic outflow
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Mechanical Engineering
Cite this
Burst activity and heart rhythm modulation in the sympathetic outflow to the heart. / Baselli, G.; Falcomatà, C.; Gelain, F.; Cerutti, S.; Massimini, M.; Montano, N.; Porta, A.
Annual Reports of the Research Reactor Institute, Kyoto University. Vol. 1 2001. p. 582-584.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Burst activity and heart rhythm modulation in the sympathetic outflow to the heart
AU - Baselli, G.
AU - Falcomatà, C.
AU - Gelain, F.
AU - Cerutti, S.
AU - Massimini, M.
AU - Montano, N.
AU - Porta, A.
PY - 2001
Y1 - 2001
N2 - In 13 decerebrate, artificially ventilated cats preganglionic sympathetic outflow to the heart was recorded with ECG and ventilation signal. A novel algorithm was implemented that extracts weighted events representing burst occurrences and their size. A multiple threshold strategy was used to separate bursts. Weighted events yielded count signals. Spectral analysis of the count signal revealed a predominance of a discharge synchronous to heart beat at cardiac frequency (CF≅3 Hz), a ventilation rhythm at the high frequency (HF≅0.3 Hz) of beat-to-beat variability, and in 9 of 13 cats a Mayer's wave lower frequency (LF). The CF component was ∼50% larger in power than both HF and also LF (when present). Spectral analysis at increasing count levels (i.e., with only the events with a weight ≥ the considered level) indicated that all rhythms were carried by burst activity and its modulations. A modulation index of HF over CF, MIHF/CF was extracted from dynamic (i.e., ventilation cycle by ventilation cycle) folded histograms of counts. MIHF/CF was significantly higher in the group without LF (0.65±0.20, mean±SD, n=4) than in that with LF (0.41±0.07, n=9). Burst activity can be a key element in the interactions between cardiovascular variability rhythms.
AB - In 13 decerebrate, artificially ventilated cats preganglionic sympathetic outflow to the heart was recorded with ECG and ventilation signal. A novel algorithm was implemented that extracts weighted events representing burst occurrences and their size. A multiple threshold strategy was used to separate bursts. Weighted events yielded count signals. Spectral analysis of the count signal revealed a predominance of a discharge synchronous to heart beat at cardiac frequency (CF≅3 Hz), a ventilation rhythm at the high frequency (HF≅0.3 Hz) of beat-to-beat variability, and in 9 of 13 cats a Mayer's wave lower frequency (LF). The CF component was ∼50% larger in power than both HF and also LF (when present). Spectral analysis at increasing count levels (i.e., with only the events with a weight ≥ the considered level) indicated that all rhythms were carried by burst activity and its modulations. A modulation index of HF over CF, MIHF/CF was extracted from dynamic (i.e., ventilation cycle by ventilation cycle) folded histograms of counts. MIHF/CF was significantly higher in the group without LF (0.65±0.20, mean±SD, n=4) than in that with LF (0.41±0.07, n=9). Burst activity can be a key element in the interactions between cardiovascular variability rhythms.
KW - Beat-to-beat variability
KW - Burst activity
KW - Cardiac rhythm
KW - Sympathetic outflow
UR - http://www.scopus.com/inward/record.url?scp=0035781243&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0035781243&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0035781243
VL - 1
SP - 582
EP - 584
BT - Annual Reports of the Research Reactor Institute, Kyoto University
ER -