Some aspects of cardiorespiratory coupling (CRC) require tools capable of accounting for nonlinearities. Joint symbolic analysis (JSA) has been proposed to characterize CRC via the rate of short, jointly coordinated (C), patterns obtained from the heart period (HP) variability and respiration (R) series. C schemes were distinguished according to the dominant time scale governing CRC. We applied JSA to a database of 19 healthy subjects (age: 27-35 yrs, median = 31 yrs; 8 males) during spontaneous and paced breathing at varying respiratory rates. The rate of C pattern did not vary with the breathing rate, but the proportions of C pattern families changed with respiratory frequency. We conclude that JSA is a useful tool to investigate the effect of breathing patterns on CRC, with potential applications in patients with respiratory failure such as that developed in COVID-19 syndrome.

ESGCO 2022 challenge: joint symbolic analysis characterizes cardiorespiratory coupling in healthy subjects / B. Cairo, V. Bari, F. Gelpi, B. de Maria, A. Porta - In: 2022 12th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO)[s.l] : IEEE Press, 2022. - ISBN 978-1-6654-8513-5. - pp. 1-2 (( Intervento presentato al 12. convegno Conference of the European Study Group on Cardiovascular Oscillations (ESGCO) tenutosi a Štrbské Pleso nel 2022 [10.1109/ESGCO55423.2022.9931349].

ESGCO 2022 challenge: joint symbolic analysis characterizes cardiorespiratory coupling in healthy subjects

B. Cairo
Primo
;
V. Bari
Secondo
;
F. Gelpi;A. Porta
Ultimo
2022

Abstract

Some aspects of cardiorespiratory coupling (CRC) require tools capable of accounting for nonlinearities. Joint symbolic analysis (JSA) has been proposed to characterize CRC via the rate of short, jointly coordinated (C), patterns obtained from the heart period (HP) variability and respiration (R) series. C schemes were distinguished according to the dominant time scale governing CRC. We applied JSA to a database of 19 healthy subjects (age: 27-35 yrs, median = 31 yrs; 8 males) during spontaneous and paced breathing at varying respiratory rates. The rate of C pattern did not vary with the breathing rate, but the proportions of C pattern families changed with respiratory frequency. We conclude that JSA is a useful tool to investigate the effect of breathing patterns on CRC, with potential applications in patients with respiratory failure such as that developed in COVID-19 syndrome.
Settore ING-INF/06 - Bioingegneria Elettronica e Informatica
2022
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/954538
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