Literature DB >> 2856788

Simultaneous analysis of beat by beat systemic arterial pressure and heart rate variabilities in ambulatory patients.

M Pagani1, R Furlan, S Dell'Orto, P Pizzinelli, G Baselli, S Cerutti, F Lombardi, A Malliani.   

Abstract

The analysis of power spectral density (PSD) or RR variability in the electrocardiogram (ECG) has suggested that, in the early phase of essential hypertension, sympatho-vagal interaction is characterized by a sympathetic predominance. Recently, we have developed a high fidelity, direct arterial pressure ambulatory recording system which allows a beat by beat computer analysis of arterial pressure and heart rate. A microminiature tip transducer (Millar, diameter 0.8 mm) is inserted percutaneously into the radial artery and connected to a Holter two-channel magnetic tape recorder. The tip transducer has a wide band pass (> 1 kHz), excellent stability (congruent to 2 mmHg/24 h) and does not require a perfusion line. The overall frequency response of the entire recording-reproducing system is better than 20 Hz (-3 dB). The ECG and pressure signals are analysed with automatic autoregressive modelling algorithms to provide a quantitative estimate of blood pressure and heart rate variability through the computation of the PSD. In seven hypertensive patients, systolic arterial pressure and variance were higher during the day (157 +/- 9 mmHg and 122 +/- 9 mmHg2) than during the night (122 +/- 4 mmHg and 30 +/- 3 mmHg2). The PSD of RR and of systolic arterial pressure consisted of a predominant low frequency peak (congruent to 0.09 cycles/beat) during the day, and two peaks at low and high (congruent to 0.25 cycles/beat) frequency during the night. While RR variance was similar during both day- and night-time, a predominant low frequency peak was observed during the day.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1985        PMID: 2856788

Source DB:  PubMed          Journal:  J Hypertens Suppl        ISSN: 0952-1178


  3 in total

1.  Causal relationship between heart rate and arterial blood pressure variability signals.

Authors:  G Baselli; S Cerutti; M Livraghi; C Meneghini; M Pagani; O Rimoldi
Journal:  Med Biol Eng Comput       Date:  1988-07       Impact factor: 2.602

Review 2.  Heart rate variability: measurement and clinical utility.

Authors:  Robert E Kleiger; Phyllis K Stein; J Thomas Bigger
Journal:  Ann Noninvasive Electrocardiol       Date:  2005-01       Impact factor: 1.468

3.  Beatquency domain and machine learning improve prediction of cardiovascular death after acute coronary syndrome.

Authors:  Yun Liu; Benjamin M Scirica; Collin M Stultz; John V Guttag
Journal:  Sci Rep       Date:  2016-10-06       Impact factor: 4.379

  3 in total

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