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Analysis of cardiorespiratory interaction in patients submitted to the T-tube test in the weaning process implementing symbolic dynamics and neural networks

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10.1109/ICAIBD.2018.8396175
 
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hdl:2117/127803

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Arizmendi Pereira, Carlos Julio
Solano, E.H.
Gonzalez, H.
González Acuña, Hernan
Giraldo Giraldo, BeatrizMés informacióMés informacióMés informació
Document typeConference report
Defense date2018
Rights accessRestricted access - publisher's policy
Attribution-NonCommercial-NoDerivs 3.0 Spain
This work is protected by the corresponding intellectual and industrial property rights. Except where otherwise noted, its contents are licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
Abstract
The determination of the optimal time of the patients in weaning trial process from Mechanical Ventilation (MV), between patients capable of maintaining spontaneous breathing and patients that fail to maintain spontaneous breathing, is a very important task in intensive care unit. Symbolic Dynamic (SD) and Neural Networks (NN) techniques were applied in order to develop a classifier for the study of patients on weaning trial process. The respiratory pattern of each patient was characterized through different time series. In order to reduce the dimensionality of the system Forward Selection is implemented, obtaining a classification performance result of 85,96 ±6,26% with 64 variables differentiating between 3 classes analyzed at same time. © 2018 IEEE.
CitationArizmendi, C. [et al.]. Analysis of cardiorespiratory interaction in patients submitted to the T-tube test in the weaning process implementing symbolic dynamics and neural networks. A: International Conference on Artificial Intelligence and Big Data, ICAIBD 2018. "2018 International Conference on Artificial Intelligence and Big Data, ICAIBD 2018". 2018, p. 101-105. 
URIhttp://hdl.handle.net/2117/127803
DOI10.1109/ICAIBD.2018.8396175
ISBN978-153866987-7
Publisher versionhttps://ieeexplore.ieee.org/document/8396175
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  • Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial - Ponències/Comunicacions de congressos [1.572]
  • BIOSPIN - Biomedical Signal Processing and Interpretation - Ponències/Comunicacions de congressos [70]
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