An easy-to-use technique to characterize cardiodynamics from first-return maps on Δrr-intervals

Abstract : Heart rate variability analysis using 24-h Holter monitoring is frequently performed to assess the cardiovascular status of a patient. The present retrospective study is based on the beat-to-beat interval variations or DRR, which offer a better view of the underlying structures governing the cardiodynamics than the common RR-intervals. By investigating data for three groups of adults (with normal sinus rhythm, congestive heart failure, and atrial fibrillation, respectively), we showed that the first-return maps built on DRR can be classified according to three structures: (i) a moderate central disk, (ii) a reduced central disk with well-defined segments, and (iii) a large triangular shape. These three very different structures can be distinguished by computing a Shannon entropy based on a symbolic dynamics and an asymmetry coefficient, here introduced to quantify the balance between accelerations and decelerations in the cardiac rhythm. The probability P111111 of successive heart beats without large beat-to-beat fluctuations allows to assess the regularity of the cardiodynamics. A characteristic time scale, corresponding to the partition inducing the largest Shannon entropy, was also introduced to quantify the ability of the heart to modulate its rhythm: it was significantly different for the three structures of first-return maps. A blind validation was performed to validate the technique. © 2015 AIP Publishing LLC.
Type de document :
Article dans une revue
Chaos, 2015, 25 (8), 〈10.1063/1.4928334〉
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Soumis le : vendredi 6 octobre 2017 - 14:52:32
Dernière modification le : lundi 15 janvier 2018 - 11:43:24



E. Fresnel, E. Yacoub, U. Freitas, A. Kerfourn, V. Messager, et al.. An easy-to-use technique to characterize cardiodynamics from first-return maps on Δrr-intervals. Chaos, 2015, 25 (8), 〈10.1063/1.4928334〉. 〈hal-01612107〉



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