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Methodology for determine the moment of disconnection of patients of the mechanical ventilation using discrete wavelet transform
dc.contributor.author | González, H. |
dc.contributor.author | Acevedo, H. |
dc.contributor.author | Arizmendi Pereira, Carlos Julio |
dc.contributor.author | Giraldo Giraldo, Beatriz |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial |
dc.contributor.other | Institut de Bioenginyeria de Catalunya |
dc.date.accessioned | 2013-05-29T09:38:55Z |
dc.date.available | 2013-05-29T09:38:55Z |
dc.date.created | 2013 |
dc.date.issued | 2013 |
dc.identifier.citation | González, H. [et al.]. Methodology for determine the moment of disconnection of patients of the mechanical ventilation using discrete wavelet transform. A: International Conference on Complex Medical Engineering. "Proceedings of 2013 ICME". 2013, p. 483-486. |
dc.identifier.uri | http://hdl.handle.net/2117/19444 |
dc.description.abstract | The process of weaning from mechanical ventilation is one of the challenges in intensive care units. 66 patients under extubation process (T-tube test) were studied: 33 patients with successful trials and 33 patients who failed to maintain spontaneous breathing and were reconnected. Each patient was characterized using 7 time series from respiratory signals, and for each serie was evaluated the discrete wavelet transform. It trains a neural network for discriminating between patients from the two groups. |
dc.format.extent | 4 p. |
dc.language.iso | eng |
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::Ciències de la salut::Medicina |
dc.subject | Àrees temàtiques de la UPC::Enginyeria mecànica::Mecatrònica |
dc.subject | Àrees temàtiques de la UPC::Enginyeria biomèdica::Electrònica biomèdica |
dc.subject.lcsh | Respirators (Medical equipment) |
dc.subject.lcsh | Neural networks |
dc.subject.other | Mechanical Ventilation |
dc.subject.other | Time series from respiratory signals |
dc.subject.other | Wavelet Transform |
dc.subject.other | Neural Networks |
dc.title | Methodology for determine the moment of disconnection of patients of the mechanical ventilation using discrete wavelet transform |
dc.type | Conference lecture |
dc.subject.lemac | Nanomedicina |
dc.subject.lemac | Biotecnologia |
dc.subject.lemac | Bioenginyeria |
dc.subject.lemac | Biomaterials |
dc.subject.lemac | Mecatrònica |
dc.contributor.group | Universitat Politècnica de Catalunya. SISBIO - Senyals i Sistemes Biomèdics |
dc.rights.access | Open Access |
local.identifier.drac | 12439836 |
dc.description.version | Postprint (published version) |
local.citation.author | González, H.; Acevedo, H.; Arizmendi, C.; Giraldo, B. |
local.citation.contributor | International Conference on Complex Medical Engineering |
local.citation.publicationName | Proceedings of 2013 ICME |
local.citation.startingPage | 483 |
local.citation.endingPage | 486 |