NDLI: Rhythmometric analysis of Heart Rate Variability indices during long term monitoring

Content Provider	IEEE Xplore Digital Library
Author	Goya-Esteban, R. Mora-Jimenez, I. Rojo-Alvarez, J.L. Barquero-Perez, O. Manzano-Martinez, S. Pastor-Perez, F. Pascual-Figal, D. Garcia-Alberola, A.
Copyright Year	2009
Description	Author affiliation: Unit of Arrhythmias, Hospital Universitario Virgen de la Arrixaca, Murcia, Spain (Manzano-Martinez, S.; Pastor-Perez, F.; Pascual-Figal, D.; Garcia-Alberola, A.) \|\| Department of Signal Theory and Communications, University Rey Juan Carlos, Madrid, Spain (Goya-Esteban, R.; Mora-Jimenez, I.; Rojo-Alvarez, J.L.; Barquero-Perez, O.)
Abstract	Long-term monitoring of ECG signals is receiving much attention, still being an open issue how to deal with this massive source of information. In particular, Heart Rate Variability (HRV) indices have been widely used to characterize the state of the autonomous regulation of the heart from 24-hour Holter monitoring, but there is few knowledge on the long-term evolution of HRV indices. A data set of 7-day Holter recordings in 12 Congestive Heart Failure (CHF) patients was assembled. For its analysis, an automatic rhythmometric procedure was designed, allowing to characterize the ultradian and the infradian components, with possible inclusion of near-periodic fluctuations. A bootstrap hypothesis test allows us to systematically adjust the model architecture for each patient. The temporal evolution of relevant time-domain (AVNN, SDNN, NN50), frequency-domain (LF, HF, HFn, LF/HF), and nonlinear (α1, SampEn) HRV indices, was analyzed. Larger relative deviations from the daily average pattern were more clearly observed in nonlinear indices and in NN50. Infradian subharmonic was mostly present in NN50, AVNN, α1, and SampEn. Long-term monitoring of HRV conveys new relevant rhythmometric information that can be analyzed with the proposed automatic procedure.
Starting Page	57
Ending Page	60
File Size	167176
Page Count	4
File Format	PDF
ISBN	9781424472819
ISSN	02766547
e-ISBN	9781424472826
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Computers in Cardiology(CinC)
Subject Keyword	Heart rate variability Heart rate measurement Hafnium Electrocardiography Information resources Patient monitoring Condition monitoring Assembly Fluctuations System testing
Content Type	Text
Resource Type	Article

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