2019
DOI: 10.2478/joeb-2019-0020
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Age-related differences in the morphology of the impedance cardiography signal

Abstract: Impedance cardiography (ICG) is a non-invasive method of hemodynamic measurement, mostly known for estimation of stroke volume and cardiac output based on characteristic features of the signal. Compared with electrocardiography, the knowledge on the morphology of the ICG signal is scarce, especially with respect to age-dependent changes in ICG waveforms. Based on recordings from ten younger (20–29 years) and ten older (60–79) healthy human subjects after three different levels of physical activity, the typical… Show more

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Cited by 9 publications
(5 citation statements)
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“…Since the morphology of these signals is not stationary, the recordings are preprocessed with averaging, detrending, and filtering functions. Moreover, intra- and inter-patient morphological variability of the waveforms is the major trouble for the detection of the characteristic points of the dZ / dt , especially for older patients who suffer from arterial stiffness [ 39 ]. Therefore, a data-driven algorithm customized to the expected characteristic points, i.e., BCXYO complexes, as a consequence of the physiological changes in the vascular system, was developed for robust recognition of the T LVE .…”
Section: Resultsmentioning
confidence: 99%
“…Since the morphology of these signals is not stationary, the recordings are preprocessed with averaging, detrending, and filtering functions. Moreover, intra- and inter-patient morphological variability of the waveforms is the major trouble for the detection of the characteristic points of the dZ / dt , especially for older patients who suffer from arterial stiffness [ 39 ]. Therefore, a data-driven algorithm customized to the expected characteristic points, i.e., BCXYO complexes, as a consequence of the physiological changes in the vascular system, was developed for robust recognition of the T LVE .…”
Section: Resultsmentioning
confidence: 99%
“…Based on the results depicted in Tables 3 and 4, it is evident that the overall results for the proposed algorithm were also influenced by the combination of study samples from different age groups undergoing different tasks (neutral, stress, speech, arithmetic, etc.). Keeping in view the age‐related differences in morphology of ICG waveforms (Ermishkin et al, 2014; Tronstad et al, 2019) and having different performances for different tasks, future work may investigate their contributions to the B point detection models.…”
Section: Discussionmentioning
confidence: 99%
“…One of the main challenges is the observed changes in the ICG waveforms. These changes have been interpreted in different ways and are usually left with unclear conclusion on their sources ( Kööbi et al, 2003 ; DeMarzo, 2009 ; Cybulski, 2011 ; Tronstad et al, 2019 ). The observed variability between waveforms impacts the accurate detection of specific ICG points, such as point X, and this has led to the proposal of different detection mechanisms ( BIOPAC Systems Inc, 2018 ).…”
Section: Introductionmentioning
confidence: 99%