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Cardiovascular coupling-based classification of ischemic and dilated cardiomyopathy patients
dc.contributor.author | Rodríguez Benítez, Javier |
dc.contributor.author | Schulz, Steffen |
dc.contributor.author | Voss, Andreas |
dc.contributor.author | Giraldo Giraldo, Beatriz |
dc.contributor.other | Universitat Politècnica de Catalunya. Doctorat en Enginyeria Biomèdica |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.date.accessioned | 2020-10-01T09:57:12Z |
dc.date.available | 2020-10-01T09:57:12Z |
dc.date.issued | 2019 |
dc.identifier.citation | Rodriguez, J. [et al.]. Cardiovascular coupling-based classification of ischemic and dilated cardiomyopathy patients. A: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. "2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC): proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2019, p. 2007-2010. ISBN 978-1-5386-1311-5. DOI 10.1109/EMBC.2019.8857875. |
dc.identifier.isbn | 978-1-5386-1311-5 |
dc.identifier.uri | http://hdl.handle.net/2117/329621 |
dc.description | © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works |
dc.description.abstract | Cardiovascular diseases are one of the most common causes of death in elderly patients. The etiology of cardiomyopathies is difficult to discern clinically. The objective of this study was to classify cardiomyopathy patients using coupling analysis, through their cardiovascular behavior and the baroreflex response. A total of thirty-eight cardiomyopathy patients (CMP) classified as ischemic (ICM, 25 patients) and dilated (DCM, 13 patients) were analyzed. Thirty elderly control subjects (CON) were used as reference. Their electrocardiographic (ECG) and blood pressure (BP) signals were studied. To characterize the cardiovascular activity, the following temporal series were extracted: beat-to-beat intervals (from the ECG signal), and end- systolic and diastolic blood pressure amplitudes (from the BP signal). Non-linear characterization techniques like high resolution joint symbolic dynamics, segmented Poincaré plot analysis, normalized shorttime partial directed coherence, and dual sequence method were used to characterize these times series. The best indices were used to build support vector machine models for classification. The optimal model for ICM versus DCM patients achieved 84.2% accuracy, 76.9% sensitivity, and 88% specificity. When CMP patients and CON subjects were compared, the best model achieved 95.5% accuracy, 97.3% sensitivity, and 93.3% specificity. These results suggest a disfunction in the baroreflex mechanism in cardiomyopathies patients |
dc.format.extent | 4 p. |
dc.language.iso | eng |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria biomèdica |
dc.subject.lcsh | Cardiovascular system -- Diseases |
dc.subject.lcsh | Electrocardiography |
dc.subject.other | Couplings |
dc.subject.other | Time series analysis |
dc.subject.other | Support vector machines |
dc.subject.other | Electrocardiography |
dc.subject.other | Baroreflex |
dc.subject.other | Coherence |
dc.subject.other | Sensitivity |
dc.title | Cardiovascular coupling-based classification of ischemic and dilated cardiomyopathy patients |
dc.type | Conference lecture |
dc.subject.lemac | Sistema cardiovascular -- Malalties |
dc.subject.lemac | Pressió sanguínia -- Mesurament |
dc.subject.lemac | Electrocardiografia |
dc.contributor.group | Universitat Politècnica de Catalunya. BIOSPIN - Biomedical Signal Processing and Interpretation |
dc.identifier.doi | 10.1109/EMBC.2019.8857875 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/8857875 |
dc.rights.access | Open Access |
local.identifier.drac | 27104250 |
dc.description.version | Postprint (author's final draft) |
local.citation.author | Rodriguez, J.; Schulz, S.; Voss, A.; Giraldo, B. |
local.citation.contributor | Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
local.citation.publicationName | 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC): proceedings |
local.citation.startingPage | 2007 |
local.citation.endingPage | 2010 |