Relative peripheral blood volume changes induced by premature ectopic beats and their role in hemodialysis

Grigonyte, Eglè ; Gil, Eduardo (Universidad de Zaragoza) ; Laguna, Pablo (Universidad de Zaragoza) ; Sörnmo, Leif

Resumen: Hemodialysis patients often suffer from cardiovascular disorders and uremic neuropathy, increasing the propensity to homeostatic imbalance that, in turn, may result in intradialytic complications like cramp, nausea, and, worse, hypotension. Ectopic beats, being abundant in such patients, may lead to imbalance through repeated, sudden drops in blood pressure. By exploring the properties of postectopic peripheral circulation recovery, treatment sessions prone to intradialytic complications may be better identified. This paper introduces a novel method for quantifying changes in peripheral blood volume due to ventricular or supraventricular premature beats (VPBs or SVPBs). Using the fingertip photoplethysmographic pulse waveform, VPB and SVPB-induced changes in relative peripheral blood volume are quantified by the postectopic pulse amplitude. Two parameters are proposed for characterizing (i) the initial drop in peripheral blood volume following an ectopic beat, and (ii) the degree of postectopic peripheral circulation recovery. A small set of data from 16 hemodialysis sessions in 9 hypotension-prone patients are used to illustrate the method. In asymptomatic sessions, the first parameter was found to be 8 ± 13% (mean ± std), whereas, in symptomatic sessions, it increased to 32 ± 13%, suggesting that postectopic pulse amplitude recovery is related to intradialytic complications; similar results were obtained for the second parameter. Postectopic pulse amplitude recovery may also be of interest in other applications where relative changes in peripheral blood volume play a role.

Idioma: Inglés

DOI: 10.1016/j.bspc.2016.09.020

Año: 2017

Publicado en: Biomedical Signal Processing and Control 31 (2017), 524-528
ISSN: 1746-8094

Factor impacto JCR: 2.783 (2017)

Categ. JCR: MEDICAL LABORATORY TECHNOLOGY rank: 9 / 30 = 0.3 (2017) - Q2 - T1
Categ. JCR: ENGINEERING, BIOMEDICAL rank: 25 / 78 = 0.321 (2017) - Q2 - T1

Factor impacto SCIMAGO: 0.723 - Signal Processing (Q1) - Health Informatics (Q2)

Financiación: info:eu-repo/grantAgreement/ES/MINECO-FEDER/TIN2014-53567-R

Tipo y forma: Article (PostPrint)

Área (Departamento): Área Ingen.Sistemas y Automát. (Dpto. Informát.Ingenie.Sistms.)
Área (Departamento): Área Teoría Señal y Comunicac. (Dpto. Ingeniería Electrón.Com.)