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Heart Rate Variability on 7-Day Holter Monitoring Using a Bootstrap Rhythmometric Procedure

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8 Author(s)
Goya-Esteban, R. ; Dept. of Signal Theor. & Commun., Univ. Rey Juan Carlos, Madrid, Spain ; Mora-Jiménez, I. ; Rojo-Álvarez, J.L. ; Barquero-Pérez, O.
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Heart rate variability (HRV) markers have been widely used to characterize the autonomous regulation state of the heart from 24-h Holter monitoring, but long-term evolution of HRV indexes is mostly unknown. A dataset of 7-day Holter recordings of 22 patients with congestive heart failure was studied. A rhythmometric procedure was designed to characterize the infradian, circadian, and ultradian components for each patient, as well as circadian and ultradian fluctuations. Furthermore, a bootstrap test yielded automatically the rhythmometric model for each patient. We analyzed the temporal evolution of relevant time-domain (AVNN, SDNN, and NN50), frequency-domain (LF, HF, HFn, and LF/HF), and nonlinear (α1 and SampEn) HRV indexes. Circadian components were the most significant for all HRV indexes, but the infradian ones were also strongly present in NN50, HFn, LF/HF, α1, and SampEn indexes. Among ultradian components that one corresponding to 12 h, was the most relevant. Long-term monitoring of HRV conveys new potentially relevant rhythmometric information, which can be analyzed by using the proposed automatic procedure.

Published in:

Biomedical Engineering, IEEE Transactions on  (Volume:57 ,  Issue: 6 )

Date of Publication:

June 2010

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