Mostra el registre d'ítem simple

dc.contributor.authorArcentales, Andrés
dc.contributor.authorVoss, Andreas
dc.contributor.authorCaminal Magrans, Pere
dc.contributor.authorBayés-Genís, Antoni
dc.contributor.authorDomingo, Maite
dc.contributor.authorGiraldo Giraldo, Beatriz
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor.otherInstitut de Bioenginyeria de Catalunya
dc.date.accessioned2014-03-25T08:05:12Z
dc.date.created2013
dc.date.issued2013
dc.identifier.citationArcentales, A. [et al.]. Characterization of blood pressure signal considering low and high risk stratification in cardiomyopathy patients. A: Computing in Cardiology. "Computing in Cardiology 2013". Zaragoza: 2013, p. 795-798.
dc.identifier.urihttp://hdl.handle.net/2117/22362
dc.description.abstractIschemic and dilated cardiomyopathy are associated with disorders of myocardium. Using the blood pressure (BP) signal and the values of the ventricular ejection fraction, we obtained parameters for stratifying cardiomyopathy patients as low- and high-risk. We studied 48 cardiomyopathy patients characterized by NYHA '22: 19 patients with dilated cardiomyopathy (DCM) and 29 patients with ischemic cardiomyopathy (lCM). The left ventricular ejection fraction (LVEF) percentage was used to classify patients in low risk (LR: LVEF > 35%, 17 patients) and high risk (HR: LVEF::; 35%, 31 patients) groups. From the BP signal, we extracted the upward systolic slope (BPsl), the difference between systolic and diastolic BP (B P A), and systolic time intervals (ST I). When we compared the LR and HR groups in the time domain analysis, the best parameters were standard deviation (SD) of 1/ ST I, kurtosis (K) of B Psl, and K of B P A. In the frequency domain analysis, very low frequency (VLF) and high frequency (HF) bands showed statistically significant differences in comaprisons of LR and HR groups. The area under the curve of power spectral density was the best parameter in all classifications, and particularly in the very low- and high- frequency bands (p < 0.001). These parameters could help to improve the risk stratification of cardiomyopathy patients.
dc.format.extent4 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica
dc.subject.lcshBlood pressure--Measurement
dc.titleCharacterization of blood pressure signal considering low and high risk stratification in cardiomyopathy patients
dc.typeConference report
dc.subject.lemacPressió sanguínia -- Mesurament
dc.contributor.groupUniversitat Politècnica de Catalunya. SISBIO - Senyals i Sistemes Biomèdics
dc.relation.publisherversionhttp://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6713497
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac13376383
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorArcentales, A.; Voss, A.; Caminal, P.; Bayes-Genis, A.; Domingo, M.; Giraldo, B.
local.citation.contributorComputing in Cardiology
local.citation.pubplaceZaragoza
local.citation.publicationNameComputing in Cardiology 2013
local.citation.startingPage795
local.citation.endingPage798


Fitxers d'aquest items

Imatge en miniatura

Aquest ítem apareix a les col·leccions següents

Mostra el registre d'ítem simple