Literature DB >> 24846642

Age-dependent and 'pathologic' changes in ICG waveforms resulting from superposition of pre-ejection and ejection waves.

V V Ermishkin1, V A Kolesnikov, E V Lukoshkova.   

Abstract

Impedance cardiography (ICG) is a popular bioimpedance application used for the non-invasive evaluation of the left ventricular stroke volume and contractility. It implies the correct determination of ejection start and end points and the amplitudes of certain peaks in a differentiated impedance cardiogram. An accurate identification of ejection onset by ICG is often problematic, especially in cardiologic patients, due to the peculiar character of the waveforms. A simple theoretical model was employed to test the consequences of the hypothesis that two major processes can contribute to the formation of an impedance systolic wave: (1) the pre-ejection changes in heart geometry and the surrounding vessels produced by ventricular contraction during the isovolumic phase, and (2) the expansion of aorta and adjacent arteries during the ejection per se. The former process initiates the pre-ejection wave while the latter triggers the ejection wave, both of which contribute to the impedance pulse waves associated with the heartbeats. A new two-bell model predicts a potential mechanism responsible for the abnormal shapes of ICG derivative dZ/dt due to the presence of the pre-ejection waves and explains the related errors in systolic time intervals and amplitude parameters derived from such ICG waveforms. It also advances an alternative viewpoint on the nature of the dZ/dt B-point notch. An appropriate decomposition method opens a promising way to avoid the masking effects of these waves and to correctly determine the onset of ejection as well as the corresponding peak amplitudes from the 'pathologically shaped' ICG signals.

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Year:  2014        PMID: 24846642     DOI: 10.1088/0967-3334/35/6/943

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


  7 in total

1.  Automatic analysis of pre-ejection period during sleep using impedance cardiogram.

Authors:  Mohamad Forouzanfar; Fiona C Baker; Ian M Colrain; Aimée Goldstone; Massimiliano de Zambotti
Journal:  Psychophysiology       Date:  2019-03-05       Impact factor: 4.016

2.  Toward a better noninvasive assessment of preejection period: A novel automatic algorithm for B-point detection and correction on thoracic impedance cardiogram.

Authors:  Mohamad Forouzanfar; Fiona C Baker; Massimiliano de Zambotti; Corey McCall; Laurent Giovangrandi; Gregory T A Kovacs
Journal:  Psychophysiology       Date:  2018-03-07       Impact factor: 4.016

3.  Beat-to-beat estimation of stroke volume using impedance cardiography and artificial neural network.

Authors:  S M M Naidu; Prem C Pandey; Uttam R Bagal; Suhas P Hardas
Journal:  Med Biol Eng Comput       Date:  2017-11-18       Impact factor: 2.602

4.  Validation of a new impedance cardiography analysis algorithm for clinical classification of stress states.

Authors:  Shafa-At Ali Sheikh; Nil Z Gurel; Shishir Gupta; Ikenna V Chukwu; Oleksiy Levantsevych; Mhmtjamil Alkhalaf; Majd Soudan; Rami Abdulbaki; Ammer Haffar; Gari D Clifford; Omer T Inan; Amit J Shah
Journal:  Psychophysiology       Date:  2022-02-12       Impact factor: 4.348

5.  An open-source automated algorithm for removal of noisy beats for accurate impedance cardiogram analysis.

Authors:  Shafa-At Ali Sheikh; Amit Shah; Oleksiy Levantsevych; Majd Soudan; Jamil Alkhalaf; Ali Bahrami Rad; Omer T Inan; Gari D Clifford
Journal:  Physiol Meas       Date:  2020-08-11       Impact factor: 2.688

6.  Age-related Differences in the Morphology of the Impedance Cardiography Signal.

Authors:  Christian Tronstad; Jan Olav Høgetveit; Ole Elvebakk; Håvard Kalvøy
Journal:  J Electr Bioimpedance       Date:  2019-12-31

7.  RZ Interval as an Impedance Cardiography Indicator of Effort-Related Cardiac Sympathetic Activity.

Authors:  Paul J Silvia; Ashley N McHone; Zuzana Mironovová; Kari M Eddington; Kelly L Harper; Sarah H Sperry; Thomas R Kwapil
Journal:  Appl Psychophysiol Biofeedback       Date:  2020-11-10
  7 in total

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