Evidence map›Paper›PMID 41358145›Full record

ArticleMedical devices (Auckland, N.Z.)2025

Mobile Application for Visualization and Analysis of Impedance Cardiography Signals.

Milena Natalia Chołuj, Bartosz Tomasz Śmigielski, Gerard Cybulski

Abstract read
In one paragraph

Article in Medical devices (Auckland, N.Z.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Milena Natalia ChołujWarsaw University of Technology, Faculty of Mechatronics, Institute of Metrology and Biomedical Engineering, Warsaw, Poland.
Bartosz Tomasz ŚmigielskiWarsaw University of Technology, Faculty of Mechatronics, Institute of Metrology and Biomedical Engineering, Warsaw, Poland.
Gerard CybulskiWarsaw University of Technology, Faculty of Mechatronics, Institute of Metrology and Biomedical Engineering, Warsaw, Poland.ORCID 0000-0002-2917-2047

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bioimpedance measurement is a noninvasive diagnostic method that enables the assessment of the condition of internal organs and their activity by recording changes in impedance of the examined body area. One of the bioimpedance techniques that allows the evaluation of cardiac mechanical activity, including the estimation of stroke volume, is impedance cardiography (ICG). Purpose: The aim of this project was to create a computer program written in widespread Java, a versatile language, valued for its reliability, scalability, and built-in features that optimize application performance. The application dedicated to mobile devices, written using the Android Studio environment, enables visualization of ICG signals simultaneously with one channel of electrocardiographic signal (ECG) and allows the preliminary analysis of basic hemodynamic parameters. Methods: The signal analysis included determination of heart rate (HR), stroke volume (SV), cardiac output (CO), and left ventricular ejection time (LVET). Discussion and Conclusions: The program allows the user the quick visual check of the recorded signal quality, browse the traces and manually select the characteristic points on the ECG and ICG waveforms, which are then used to calculate the ICG-derived cardiac parameters. It may be used to visualize ECG and ICG signals by anyone, who could enter ICG data formatted in three text columns where each row reflects a sample of ECG, first derivative of ICG signal (dz/dt) and basic impedance (Z0).

Indexed as

cardiac outputimpedance cardiographymobile application

Identifiers

PMID41358145
PMCPMC12679932

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.