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Comparison of computational cost and prediction error of cardiorespiratory models for exercise simulation
dc.contributor.author | Sarmiento, C.A. |
dc.contributor.author | Hernandez, A.M. |
dc.contributor.author | Serna Higuita, Leidy Yanet |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.date.accessioned | 2019-05-01T23:09:54Z |
dc.date.issued | 2018 |
dc.identifier.citation | Sarmiento, 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.isbn | 978-153865475-0 |
dc.identifier.uri | http://hdl.handle.net/2117/132459 |
dc.description.abstract | The 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.extent | 5 p. |
dc.language.iso | eng |
dc.subject | Àrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica::Electrònica en cardiologia |
dc.subject.lcsh | Miocardi -- Malalties |
dc.subject.lcsh | Cor -- Malalties -- Diagnòstic |
dc.subject.lcsh | Bal·listocardiografia |
dc.subject.other | Automatic control |
dc.subject.other | Biological system modeling |
dc.subject.other | Computational efficiency |
dc.subject.other | Computer simulation Automation |
dc.subject.other | Bioinformatics |
dc.subject.other | Biological systems |
dc.subject.other | Biomedical engineering |
dc.subject.other | Blood pressure |
dc.subject.other | Carbon dioxide |
dc.subject.other | Computational efficiency |
dc.subject.other | Computer control systems |
dc.subject.other | Computer simulation |
dc.subject.other | Control engineering |
dc.subject.other | Costs |
dc.subject.other | Diagnosis |
dc.subject.other | Errors |
dc.subject.other | Forecasting |
dc.subject.other | Health care |
dc.subject.other | Biological system modeling |
dc.subject.other | Cardio-respiratory system |
dc.subject.other | Clinical treatments |
dc.subject.other | Comparative evaluations |
dc.subject.other | Mean arterial blood pressures |
dc.subject.other | Model and simulation |
dc.subject.other | Partial pressure of oxygen |
dc.subject.other | Physiological systems |
dc.subject.other | Physiological models |
dc.title | Comparison of computational cost and prediction error of cardiorespiratory models for exercise simulation |
dc.type | Conference report |
dc.subject.lemac | Heart--Diseases--Diagnosis |
dc.subject.lemac | Ballistocardiography |
dc.contributor.group | Universitat Politècnica de Catalunya. BIOART - BIOsignal Analysis for Rehabilitation and Therapy |
dc.identifier.doi | 10.1109/GMEPE-PAHCE.2018.8400750 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/8400750 |
dc.rights.access | Restricted access - publisher's policy |
local.identifier.drac | 23409204 |
dc.description.version | Postprint (published version) |
dc.date.lift | 10000-01-01 |
local.citation.author | Sarmiento, C.; Hernandez, A.; Serna, L.Y. |
local.citation.contributor | PAHCE - Pan American Health Care Exchanges |
local.citation.publicationName | 2018 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges |
local.citation.startingPage | 1 |
local.citation.endingPage | 5 |