Literature DB >> 10720013

Evaluation of respiratory influences on left ventricular function parameters extracted from echocardiographic acoustic quantification.

E G Caiani1, M Turiel, S Muzzupappa, A Porta, G Baselli, M Pagani, S Cerutti, A Malliani.   

Abstract

This study was designed to assess, using the echocardiographic acoustic quantification technique, the influence of respiration on left ventricular (LV) function and its modifications connected with the ageing process, quantifying in a non-invasive way the respiratory contribution to the LV volume variability. An automated algorithm is applied to extract the beat-to-beat measurements of LV function parameters from the LV volume signal, obtained from recordings lasting a few minutes. Mean values, amount of variability and spectral content were studied in a population of 17 normal young (mean age 25 +/- 1 years) and 12 normal old (mean age 64 +/- 2 years) subjects. Mean values of the beat-to-beat measurements of LV function parameters were able to point out alterations connected with the ageing process in peak filling rate, peak atrial filling rate and peak ejection rate. Spectral analysis, applied to the extracted variability series, displayed a predominance of the high-frequency (HF) component corresponding to respiration in all LV function parameters; moreover, age related changes of HF variability were observed in peak ejection rate. The HF power spectrum component of beat to beat series extracted from the LV signal can provide a non-invasive assessment of the fluctuations in ventricular parameters associated with respiration.

Mesh:

Year:  2000        PMID: 10720013     DOI: 10.1088/0967-3334/21/1/321

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  7 in total

1.  Analysis of cardiac left-ventricular volume based on time warping averaging.

Authors:  E G Caiani; A Porta; G Baselli; M Turiel; S Muzzupappa; M Pagani; A Malliani; S Cerutti
Journal:  Med Biol Eng Comput       Date:  2002-03       Impact factor: 2.602

2.  Parametric-based feature selection via spherical harmonic coefficients for the left ventricle myocardial infarction screening.

Authors:  Gelareh Valizadeh; Farshid Babapour Mofrad; Ahmad Shalbaf
Journal:  Med Biol Eng Comput       Date:  2021-05-13       Impact factor: 2.602

3.  Myocardial perfusion imaging with real-time respiratory triggering: impact of inspiration breath-hold on left ventricular functional parameters.

Authors:  Ronny R Buechel; Lars Husmann; Aju P Pazhenkottil; Rene Nkoulou; Bernhard A Herzog; Irene A Burger; Jelena R Ghadri; Mathias Wolfrum; Philipp A Kaufmann
Journal:  J Nucl Cardiol       Date:  2010-04-23       Impact factor: 5.952

4.  Effect of age on complexity and causality of the cardiovascular control: comparison between model-based and model-free approaches.

Authors:  Alberto Porta; Luca Faes; Vlasta Bari; Andrea Marchi; Tito Bassani; Giandomenico Nollo; Natália Maria Perseguini; Juliana Milan; Vinícius Minatel; Audrey Borghi-Silva; Anielle C M Takahashi; Aparecida M Catai
Journal:  PLoS One       Date:  2014-02-24       Impact factor: 3.240

5.  Disentangling cardiovascular control mechanisms during head-down tilt via joint transfer entropy and self-entropy decompositions.

Authors:  Alberto Porta; Luca Faes; Andrea Marchi; Vlasta Bari; Beatrice De Maria; Stefano Guzzetti; Riccardo Colombo; Ferdinando Raimondi
Journal:  Front Physiol       Date:  2015-10-27       Impact factor: 4.566

6.  A Transfer Entropy Approach for the Assessment of the Impact of Inspiratory Muscle Training on the Cardiorespiratory Coupling of Amateur Cyclists.

Authors:  Raphael Martins de Abreu; Aparecida Maria Catai; Beatrice Cairo; Patricia Rehder-Santos; Claudio Donisete da Silva; Étore De Favari Signini; Camila Akemi Sakaguchi; Alberto Porta
Journal:  Front Physiol       Date:  2020-02-25       Impact factor: 4.566

7.  Forcecardiography: A Novel Technique to Measure Heart Mechanical Vibrations onto the Chest Wall.

Authors:  Emilio Andreozzi; Antonio Fratini; Daniele Esposito; Ganesh Naik; Caitlin Polley; Gaetano D Gargiulo; Paolo Bifulco
Journal:  Sensors (Basel)       Date:  2020-07-13       Impact factor: 3.576

  7 in total

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