Wavelet transform analysis reveals differences between patients with impaired LVEF and healthy individuals - Publication - Bridge of Knowledge

Your account

login

Search

Wavelet transform analysis reveals differences between patients with impaired LVEF and healthy individuals

Abstract

Heart failure (HF) is a global pandemic. It af- fects 64 million people worldwide, with stead- ily increasing incidence, morbidity, mortality, and economic burden [1]. Forecasts indicate continued rising prevalence, especially among the elderly and in low-to-middle socio-de- mographic index regions [2]. Left ventricular ejection fraction (LVEF) significantly impacts HF treatment and prognosis [3]. The sequence of physiological changes related to reduced LVEF remains uncertain, and only limited re- search has explored these mechanisms. This study employed wavelet transformation (WT) to investigate oscillatory interactions, exploring aging and decreased LVEF effects on cardiovascular dynamics. We analyzed central (electrocardiogram [ECG]) and pe- ripheral (blood pressure [BP]) measurements, hypothesizing modified wavelet quantities in HF patients compared to healthy individuals.

Citations

  • 0

    CrossRef

  • 0

    Web of Science

  • 0

    Scopus

Authors (8)

Cite as

Full text

download paper
downloaded 7 times
Publication version
Accepted or Published Version
DOI:
Digital Object Identifier (open in new tab) 10.33963/v.phj.101280
License
Creative Commons: CC-BY-NC-ND open in new tab

Keywords

Details

Category:
Articles
Type:
artykuły w czasopismach
Published in:
Kardiologia Polska no. 82, pages 882 - 885,
ISSN: 0022-9032
Language:
English
Publication year:
2024
Bibliographic description:
Gruszecki M., Kaufmann D., Świątczak M., Młodziński K., Neary J., Singh J., Rumiński J., Danilowicz-szymanowicz L.: Wavelet transform analysis reveals differences between patients with impaired LVEF and healthy individuals// Kardiologia Polska -, (2024),
DOI:
Digital Object Identifier (open in new tab) 10.33963/v.phj.101280
Sources of funding:
  • Free publication
Verified by:
Gdańsk University of Technology

seen 14 times

Recommended for you

Application of time-frequency methods for analysis of dynamic silo flow

2005

The effect of current signal filtering method on the value of cutting power while sawing wood

2015

Damage detection in turbine wind blades by vibration based methods

2009

Non-Destructive Diagnostics of Concrete Beams Strengthened with Steel Plates Using Modal Analysis and Wavelet Transform

2021
Meta Tags