DOI: https://doi.org/10.31071/kit2021.17.02

Inventory reference

ISSN 1812-7231(print), ISSN 2786-5800 (Online) Klin. inform. telemed. Volume 16, Issue 17, 2021, Pages 53-60

Author(s)

G.Raimondi¹, P. Mobilia¹, L. Barsi¹, A. Martynenko²

Institution(s)

¹University of Roma «Sapienza», Roma, Italy;

²V. N. Karazin Kharkiv National University, Kharkiv, Ukraine

Article title

Fuzzy logic approach for analysis of the heart rate variability of dialyzed patients

Abstract (resume)

Introduction. The number of patients with chronic kidney disease (CKD) has increased over the last few decades because of the increasing incidence of chronic diseases, including diabetes and hypertension. Cardiovascular events account for a majority of deaths in patients with CKD, and they can be attributed to hypertension, deranged lipid metabolism, fluid overload, and autonomic nervous system dysfunction. Some investigations have evaluated the association between heart rate variability (HRV) indices and hemodynamic status during hemodialysis [7–8]. A lower HRV has been shown to be an adverse outcome predictor of cardiovascular events, congestive heart failure, sudden cardiac death, CKD-related hospitalization, and incident end-stage renal disease in patients with CKD [9–13].

Keywords

Dialysis; Heart rate variability; Fuzzy logic.

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