Features extracted from heart rate variability (HRV) have allowed to classify several cardiac disorders. In this work, the linear relationship between HRV and ventricular repolarization variability is studied as a possible feature for stratifying risk of cardiac arrhythmias under weightlessness conditions. Three VR beat-to-beat indexes extracted from ECG signals as QT, QTp(QRS onset to T wave peak) and Tpe(peak to end of T wave) were measured. ARARX modeling was used to estimate the VR variability fraction driven by HRV. Head down bed rest as microgravity Earth-based test increased the linear dependency of VR variability driven by HRV. Furthermore, in a pairwise comparison between PRE and POST conditions showed significant differences (p-values < 0.05) for Tpevariability contents. These results evidence a reduced recovery capacity for the Tpere-polarization variability to restore its linear dependency values to HR in the first moments at the end of BR. © 2013 IEEE.

Heart rate and ventricular repolarization variabilities interactions modification by microgravity simulation during head-down bed rest test

Caiani, Enrico G.;
2013-01-01

Abstract

Features extracted from heart rate variability (HRV) have allowed to classify several cardiac disorders. In this work, the linear relationship between HRV and ventricular repolarization variability is studied as a possible feature for stratifying risk of cardiac arrhythmias under weightlessness conditions. Three VR beat-to-beat indexes extracted from ECG signals as QT, QTp(QRS onset to T wave peak) and Tpe(peak to end of T wave) were measured. ARARX modeling was used to estimate the VR variability fraction driven by HRV. Head down bed rest as microgravity Earth-based test increased the linear dependency of VR variability driven by HRV. Furthermore, in a pairwise comparison between PRE and POST conditions showed significant differences (p-values < 0.05) for Tpevariability contents. These results evidence a reduced recovery capacity for the Tpere-polarization variability to restore its linear dependency values to HR in the first moments at the end of BR. © 2013 IEEE.
2013
Proceedings of CBMS 2013 - 26th IEEE International Symposium on Computer-Based Medical Systems
9781479910533
Biomedical Engineering; Health Informatics
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1084359
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