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dc.contributor.authorSarmiento, C.A.
dc.contributor.authorHernandez, A.M.
dc.contributor.authorSerna Higuita, Leidy Yanet
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.date.accessioned2019-05-01T23:09:54Z
dc.date.issued2018
dc.identifier.citationSarmiento, C.; Hernandez, A.; Serna, L.Y. Comparison of computational cost and prediction error of cardiorespiratory models for exercise simulation. A: PAHCE - Pan American Health Care Exchanges. "2018 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges". 2018, p. 1-5.
dc.identifier.isbn978-153865475-0
dc.identifier.urihttp://hdl.handle.net/2117/132459
dc.description.abstractThe modeling and simulation of the cardiorespiratory system has allowed a better understanding of the physiological system behavior to different stimuli and pathologies. Among its main applications stands out the computational tools for diagnosis and clinical treatment support, context in which the knowledge of the computational cost is fundamental for its implementation. The purpose of this work is to develop a comparative evaluation of computational cost of the cardiorespiratory models proposed by Cheng et al. and Albanese et al. under physical activity simulation. The evaluation consisted in the comparison of the computational cost and the prediction error of the physiological variables for each model. Variations in carbon dioxide production between 0.2 and 2.0 l/min were implemented, under the conditions and nominal parameters proposed for each model. The variables compared were mean arterial blood pressure, heart rate, frequency of breathing, tidal volume, arterial partial pressure of oxygen and arterial partial pressure of carbon dioxide. The results evidence that the model proposed by Cheng et al. is the most appropriate for the exercise simulation, due to both the best prediction of variables and the best relationship between complexity and simulation time required. © 2018 IEEE.
dc.format.extent5 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica::Electrònica en cardiologia
dc.subject.lcshMiocardi -- Malalties
dc.subject.lcshCor -- Malalties -- Diagnòstic
dc.subject.lcshBal·listocardiografia
dc.subject.otherAutomatic control
dc.subject.otherBiological system modeling
dc.subject.otherComputational efficiency
dc.subject.otherComputer simulation Automation
dc.subject.otherBioinformatics
dc.subject.otherBiological systems
dc.subject.otherBiomedical engineering
dc.subject.otherBlood pressure
dc.subject.otherCarbon dioxide
dc.subject.otherComputational efficiency
dc.subject.otherComputer control systems
dc.subject.otherComputer simulation
dc.subject.otherControl engineering
dc.subject.otherCosts
dc.subject.otherDiagnosis
dc.subject.otherErrors
dc.subject.otherForecasting
dc.subject.otherHealth care
dc.subject.otherBiological system modeling
dc.subject.otherCardio-respiratory system
dc.subject.otherClinical treatments
dc.subject.otherComparative evaluations
dc.subject.otherMean arterial blood pressures
dc.subject.otherModel and simulation
dc.subject.otherPartial pressure of oxygen
dc.subject.otherPhysiological systems
dc.subject.otherPhysiological models
dc.titleComparison of computational cost and prediction error of cardiorespiratory models for exercise simulation
dc.typeConference report
dc.subject.lemacHeart--Diseases--Diagnosis
dc.subject.lemacBallistocardiography
dc.contributor.groupUniversitat Politècnica de Catalunya. BIOART - BIOsignal Analysis for Rehabilitation and Therapy
dc.identifier.doi10.1109/GMEPE-PAHCE.2018.8400750
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8400750
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac23409204
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorSarmiento, C.; Hernandez, A.; Serna, L.Y.
local.citation.contributorPAHCE - Pan American Health Care Exchanges
local.citation.publicationName2018 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges
local.citation.startingPage1
local.citation.endingPage5


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