78885 20210902121559.0 doi 10.1016/j.bspc.2016.09.020 sideral 96651 ART-2017-96651 eng Grigonyte, Eglè Relative peripheral blood volume changes induced by premature ectopic beats and their role in hemodialysis 2017 Access copy available to the general public Unrestricted 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. info:eu-repo/grantAgreement/ES/MINECO-FEDER/TIN2014-53567-R info:eu-repo/semantics/openAccess by-nc-nd http://creativecommons.org/licenses/by-nc-nd/3.0/es/ 2.783 2017 MEDICAL LABORATORY TECHNOLOGY 9 / 30 = 0.3 2017 Q2 T1 ENGINEERING, BIOMEDICAL 25 / 78 = 0.321 2017 Q2 T1 0.723 2017 Signal Processing 2017 Q1 Health Informatics 2017 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Gil, Eduardo Universidad de Zaragoza (orcid)0000-0001-7285-0715 Laguna, Pablo Universidad de Zaragoza (orcid)0000-0003-3434-9254 Sörnmo, Leif 5007 520 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Ingen.Sistemas y Automát. 5008 800 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Teoría Señal y Comunicac. 31 (2017), 524-528 Biomed. signal proces. control Biomedical Signal Processing and Control 1746-8094 280992 http://zaguan.unizar.es/record/78885/files/texto_completo.pdf Postprint 78972 http://zaguan.unizar.es/record/78885/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:78885 articulos driver 2021-09-02-08:34:08 ARTICLE