Cardiovascular diseases diagnosis by impedance cardiography

Mansouri, S.; Alharbi, Yousef; Alshrouf, Anwar; Alqahtani, Abdulrahman

doi:10.2478/joeb-2022-0013

Cited by 6 publications

(4 citation statements)

References 56 publications

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“…As it is shown, all points lie near of the control straight line, revealing that the chosen model replicates the observations. By far, this study is focused on the phase angle prediction due to importance concerning the state of health of individuals [4][5][6]. As it is shown in Figures 6a and b, the phase angle values are well reproduced from the data of intra-and extracellular water according to Kotler.…”

Section: Predictive Machine Learning Modelmentioning

confidence: 89%

“…Bioimpedance spectroscopy has gained more interest in the field of medicine [1][2][3]. For instance, impedance cardiography for monitoring of heart activity by measuring the impedance of a thorax [4,5]. It can be noted its relevance in the pumping activity of the heart, contrary to electrocardiography, which reflects the heart electrical activity [4,5].…”

Section: Introductionmentioning

confidence: 99%

“…For instance, impedance cardiography for monitoring of heart activity by measuring the impedance of a thorax [4,5]. It can be noted its relevance in the pumping activity of the heart, contrary to electrocardiography, which reflects the heart electrical activity [4,5]. More specifically, the measurement of body fluid volumes, extracellular (ECW) and intracellular water (ICW) and their sum, total body water (TBW) is important for estimation of many pathologies [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

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Developing Accurate Predictive Models for Phase Angle Estimation in Adult Individuals of Southern Cuba Region using Classification and Regression Learner Methods from Bioimpedance Measurements

Bello,

Luna,

Lafargue

et al. 2024

Preprint

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Objective: The combined use of bioimpedance and machine learning is essential for accurately estimating the health status of individuals. This work is aimed to develop a machine learning predictions of phase angle derived from bioimpedance measurements of adult-healthy volunteers from Santiago de Cuba, Cuba. Methods: We conducted a pilot study in Santiago de Cuba, Cuba with a total of 2848 volunteers between the ages of 19 and 96. The study included individuals with asthma, diabetics, hypertension, ischemic heart disease and with no apparent illness. Bioimpedance parameters were measured using a standard tetrapolar whole-body configuration. A classification and regression model was used to predict the phase angle. Results: The classification model identified relevant bioparameters for predicting the phase angle. Total body water showed the greatest importance at approximately 94%, followed by the corrected capacitance at ~18% and the basal energy costs at ~17%. The predicted phase angle values were consistent with previous reports of other pathologies, where higher phase angle values indicate better health and men have higher values than women. The model suggests that Xc, TBWkolt, and GBE can be used as alternative indicators for estimating health status. Furthermore, a previously unreported relationship between the metabolic basal index and phase angle was proposed with possible implications for health status. Conclusion: The classification, phase angle and body mass index predictive models are of the great importance to assist the exploration of partial heath status with great accuracy. The results reveal that the predictor models can be used for estimating the phase angle and intrinsically the health status of adult patients with helpful diagnosis assistance in Santiago de Cuba, Cuba.

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Section: Predictive Machine Learning Modelmentioning

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Developing Accurate Predictive Models for Phase Angle Estimation in Adult Individuals of Southern Cuba Region using Classification and Regression Learner Methods from Bioimpedance Measurements

Bello,

Luna,

Lafargue

et al. 2024

Preprint

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“…Impedance cardiography is one noninvasive and well-validated tool for assessing cardiovascular hemodynamics based on the phenomenon of impedance variation of a given body segment related to blood flow in large arterial vessels. Blood circulating in the vascular system is characterised by a relatively low impedance in relation to the surrounding tissues, and its variability over time allows the assessment of many important haemodynamic parameters (12,(19)(20)(21)(22)(23).…”

Section: Impedance Cardiographymentioning

confidence: 99%

The patient’s sex determines the hemodynamic profile in patients with Cushing disease

Jurek,

Krzesiński,

Uziębło-Życzkowska

et al. 2023

Front. Endocrinol.

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BackgroundCushing disease (CD) may lead to accelerated cardiovascular remodeling and increased mortality. There are suspected differences in the mechanism of cardiovascular dysfunction between males and females with CD. The purpose of this study was to assess the effect of patient sex on the hemodynamic profile assessed via impedance cardiography and echocardiography in patients newly diagnosed with CD.Material and methodsThe 54 patients newly diagnosed with CD (mean age 41 years; 77.8% of females) who were included in this prospective clinical study underwent impedance cardiography to assess specific parameters (including systemic vascular resistance index [SVRI], total arterial compliance index [TACI], Heather index [HI], stroke index [SI], cardiac index [CI], velocity index [VI], and acceleration index [ACI]) and transthoracic echocardiography to assess heart chamber diameters and left ventricular systolic and diastolic function.ResultsMales with CD exhibited higher afterload, with higher SVRI (3,169.3 ± 731.8 vs. 2,339.3 ± 640.8 dyn*s*cm-5*m² in males and females, respectively; p=0.002), lower TACI (0.80 ± 0.30 vs. 1.09 ± 0.30 mL/mmHg*m2; p=0.008), and lower hemodynamic parameters of left ventricular function, with lower HI (9.46 ± 2.86 vs. 14.1 ± 5.06 Ohm/s2; p=0.0007), lower VI (35.1 ± 11.9 vs. 44.9 ± 13.1 1*1000-1*s-1; p=0.009), lower SI (36.5 ± 11.7 vs. 43.6 ± 9.57 mL/m2; p=0.04), lower CI (2.36 ± 0.46 vs. 3.17 ± 0.76 mL*m-2*min-1; p=0.0009), and lower ACI (50.4 ± 19.8 vs. 73.6 ± 25.0 1/100/s2; p=0.006). There were no significant differences between the sexes in left ventricular systolic or diastolic function assessed by echocardiography.ConclusionIn comparison with females with CD, males with CD have a less favorable hemodynamic profile, with higher afterload and worse left ventricular function. Sex differences in cardiovascular system function should be taken into consideration in designing personalized diagnostic and therapeutic management of patients with CD.

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ICG signal denoising based on ICEEMDAN and PSO-VMD methods

Li,

Ni,

2024

Phys Eng Sci Med

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Cardiovascular diseases diagnosis by impedance cardiography

Cited by 6 publications

References 56 publications

Developing Accurate Predictive Models for Phase Angle Estimation in Adult Individuals of Southern Cuba Region using Classification and Regression Learner Methods from Bioimpedance Measurements

Developing Accurate Predictive Models for Phase Angle Estimation in Adult Individuals of Southern Cuba Region using Classification and Regression Learner Methods from Bioimpedance Measurements

The patient’s sex determines the hemodynamic profile in patients with Cushing disease

ICG signal denoising based on ICEEMDAN and PSO-VMD methods

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