ESGCO 2022 challenge:

Characterizing cardiorespiratory interactions from spontaneous fluctuations of heart period and respiratory flow during controlled breathing

Background of the Challenge:

ESGCO 2022 | color border long

The participants to the challenge are required to characterize cardiorespiratory interactions from the spontaneous fluctuations of heart period and respiratory flow during spontaneous breathing and controlled respiration at different respiratory rates in healthy subjects.

When using this resource please cite the following references

[1] A. Porta, S. Guzzetti, N. Montano, M. Pagani, V. Somers, A. Malliani, G. Baselli, S. Cerutti, Information domain analysis of cardiovascular variability signals: evaluation of regularity, synchronisation and co-ordination, Medical & Biological Engineering & Computing, 38, 180-188, 2000.

[2] A. Porta, T. Bassani, V. Bari, G.D. Pinna, R. Maestri, S. Guzzetti, Accounting for respiration is necessary to reliably infer Granger causality from cardiovascular variability series, IEEE Transactions on Biomedical Engineering, 59, 832-841, 2012.

Aim of the Challenge:

ESGCO 2022 | color border long

The aim is to gain insight on the dependance of cardiorespiratory coupling on the breathing rate. Characterization could be carried out in any domain (i.e., time, frequency, and information domain) using any tool or metric that it is deemed to be helpful in assessing cardiorespiratory control and its evolution with the breathing rate.

Organizers: Alberto Porta, Michal Javorka

Description of the Database:

ESGCO 2022 | color border long

Description of the experimental protocol:

ESGCO 2022 | color border long
ESGCO 2022 | Tatras