Noninvasive Bioimpedance Methods From the Viewpoint of Remote Monitoring in Heart Failure

Krzesiński, Paweł; Sobotnicki, Aleksander; Gacek, Adam; Siebert, Janusz; Walczak, Andrzej; Murawski, Piotr; Gielerak, Grzegorz

doi:10.2196/25937

Cited by 15 publications

(9 citation statements)

References 32 publications

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“…Impedance fluctuations occurring as a result of changes in the volume and velocity of the blood vessels, air in the lungs, as well as movements of organs and changes in their shape can provide information about the state and function of the body’s internal organs [ 4 , 56 , 57 , 58 ]. The undoubted advantage of the bioimpedance method is its non-invasiveness and lack of known side effects [ 59 ]. During the tests, electrical impedance measurements are made of the tested tissue area.…”

Section: Methodsmentioning

confidence: 99%

A New Method of Identifying Characteristic Points in the Impedance Cardiography Signal Based on Empirical Mode Decomposition

Trybek

Sobotnicka

Wawrzkiewicz-Jałowiecka

et al. 2023

Sensors

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The accurate detection of fiducial points in the impedance cardiography signal (ICG) has a decisive impact on the proper estimation of diagnostic parameters such as stroke volume or cardiac output. It is, therefore, necessary to find an algorithm that is able to assess their positions with great precision. The solution to this problem is, however, quite challenging with regard to the high sensitivity of the ICG technique to the noise and varying morphology of the acquired signals. The aim of this study is to propose a novel method that allows us to overcome these limitations. The developed algorithm is based on Empirical Mode Decomposition (EMD)—an effective technique for processing and analyzing various types of non-stationary signals. We find high correlations between the results obtained from the algorithm and annotated by an expert. This, in turn, implies that the difference in estimation of the diagnostic-relevant parameters is small, which suggests that the method can automatically provide precise clinical information.

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Section: Methodsmentioning

confidence: 99%

A New Method of Identifying Characteristic Points in the Impedance Cardiography Signal Based on Empirical Mode Decomposition

Trybek

Sobotnicka

Wawrzkiewicz-Jałowiecka

et al. 2023

Sensors

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“…The experimental data used in this study were sourced from the AMULET research project [ 9 , 10 , 11 , 12 ], under which a multicenter, prospective, randomized, open-label and controlled, parallel group trial was conducted (ClinicalTrials.gov Identifier: NCT03476590) at nine locations throughout Poland. In total, 605 patients with heart failure were recruited.…”

Section: Methodsmentioning

confidence: 99%

Heart Failure Evolution Model Based on Anomalous Diffusion Theory

Walczak

2022

Entropy

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The unexpectable variations of the diagnosed disease symptoms are quite often observed during medical diagnosis. In stochastics, such behavior is called “grey swan” or “black swan” as synonyms of sudden, unpredictable change. Evolution of the disease’s symptoms is usually described by means of Markov processes, where dependency on process history is neglected. The common expectation is that such processes are Gaussian. It is demonstrated here that medical observation can be described as a Markov process and is non-Gaussian. Presented non-Gaussian processes have “fat tail” probability density distribution (pdf). “Fat tail” permits a slight change of probability density distribution and triggers an unexpectable big variation of the diagnosed parameter. Such “fat tail” solution is delivered by the anomalous diffusion model applied here to describe disease evolution and to explain the possible presence of “swans” mentioned above. The proposed model has been obtained as solution of the Fractal Fokker–Planck equation (FFPE). The paper shows a comparison of the results of the theoretical model of anomalous diffusion with experimental results of clinical studies using bioimpedance measurements in cardiology. This allows us to consider the practical usefulness of the proposed solutions.

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“…In doing so, it can give a reliable and objective measure of volume status [ 72 ]. Outside of nephrology, BI has been studied in the community, where impedance across the chest has been shown to correlate with pulmonary oedema and the decompensation of heart failure, with both vests and wearable patches trialled [ 73 , 74 ]. Bioimpedance analysis would also incorporate an added benefit of estimating the lean body mass, which could aid in nutritional assessments.…”

Section: Devices That May Improve Patient Care But Don’t Yet Existmentioning

confidence: 99%

Wearables in Nephrology: Fanciful Gadgetry or Prêt-à-Porter?

Stauss

Htay

Kooman

et al. 2023

Sensors

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Telemedicine and digitalised healthcare have recently seen exponential growth, led, in part, by increasing efforts to improve patient flexibility and autonomy, as well as drivers from financial austerity and concerns over climate change. Nephrology is no exception, and daily innovations are underway to provide digitalised alternatives to current models of healthcare provision. Wearable technology already exists commercially, and advances in nanotechnology and miniaturisation mean interest is also garnering clinically. Here, we outline the current existing wearable technology pertaining to the diagnosis and monitoring of patients with a spectrum of kidney disease, give an overview of wearable dialysis technology, and explore wearables that do not yet exist but would be of great interest. Finally, we discuss challenges and potential pitfalls with utilising wearable technology and the factors associated with successful implementation.

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Noninvasive Bioimpedance Methods From the Viewpoint of Remote Monitoring in Heart Failure

Cited by 15 publications

References 32 publications

A New Method of Identifying Characteristic Points in the Impedance Cardiography Signal Based on Empirical Mode Decomposition

A New Method of Identifying Characteristic Points in the Impedance Cardiography Signal Based on Empirical Mode Decomposition

Heart Failure Evolution Model Based on Anomalous Diffusion Theory

Wearables in Nephrology: Fanciful Gadgetry or Prêt-à-Porter?

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