Maria Teresa La Rovere

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Higher neurohormonal activation levels are known markers of severity in heart failure (HF). Aim of the study was to assess the association of Poincarè plot indexes (PPI) of RR time series with plasma norepinephrine (NPE) levels and functional parameters as compared to classical linear indexes of HRV. Ninety-nine HF patients underwent to a 24-hour(More)
In this paper, we describe a computer program (RESP-24) specifically devised to assess the prevalence and characteristics of breathing disorders in ambulant chronic heart failure patients during the overall 24 h period. The system works on a single channel respiratory signal (RS) recorded through a Holter-like portable device. In the pre-processing stage(More)
The physiological mechanisms responsible for periodic breathing (PB) in heart failure (HF) patients are still debated. A role for rhythmic shifts in the level of wakefulness has been suggested, but their existence has never been proven. In this study we investigated the existence of an oscillation in EEG activity during PB in these patients and assessed its(More)
A periodic breathing (PB) pattern is often observed in chronic heart failure (CHF) patients (pts). In order to clarify the role of this abnormal respiratory activity upon heart period variability we investigated, in a group of 20 stable CHF pts (NYHA class II to III, median EF 24%) showing a PB pattern, 1) whether observed data were consistent with the(More)
In this study we appraised three new criteria for the computation of baroreflex sensitivity (BRS) using the transfer function magnitude (TFM) method, with the aim of overcoming the conventional requirement of a coherence ≥ ≥ ≥ ≥ 0.5 between arterial pressure and RR interval time series. Measurements were carried out in a sample of 44 post-myocardial(More)
Heart failure (HF) is a cardiac disease associated with prominent alterations in the autonomic control of the cardiovascular system and high neurohormonal activation levels. Useful assessment tools may be heart rate variability (HRV) analysis and/or the study of norepinephrine (NPE) level. Nevertheless, traditional techniques of HRV analysis have proved not(More)
Accurate spectral analysis of 24-hour heart rate variability (HRV) requires time consuming interactive control of the overall processing, limiting its feasibility in large scale clinical trials. Fully automatic procedures allow a dramatic reduction of analysis time but the level of accuracy loss is unknown. In this study we compared automatic and(More)
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