Cardiorespiratory interaction using nonlinear data processing techniques in patients undergoing test tube T

J. I. Trapero, Carlos Julio Arizmendi, C. A. Forero, S. K. Lopez, B. F. Giraldo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The estimate of the optimal time to remove the ventilator from a patient in intensive care remains critical in clinical practice. This study analyzes the breathing pattern from cardiorespiratory signals extubation patients undergoing performing resampling the signal, then the Symbolic Dynamics technique for data processing is implemented, together with the techniques of Support Vector Machines (SVM) and Linear Discriminant Analysis (LDA) for classifying 154 patients conglomerates in the Group Success and Failure Group classification, obtaining the best result obtained from 93.87 ± 0.01 % prediction, for SVM.

Original languageEnglish
Title of host publication7th Latin American Congress on Biomedical Engineering, CLAIB 2016
EditorsJohn Bustamante, Daniel A. Sierra, Isnardo Torres
PublisherSpringer Verlag
Pages465-468
Number of pages4
ISBN (Print)9789811040856
DOIs
StatePublished - 2017
Event7th Latin American Congress on Biomedical Engineering, CLAIB 2016 - Bucaramanga, Santander, Colombia
Duration: 26 Oct 201628 Oct 2016

Publication series

NameIFMBE Proceedings
Volume60
ISSN (Print)1680-0737

Conference

Conference7th Latin American Congress on Biomedical Engineering, CLAIB 2016
Country/TerritoryColombia
CityBucaramanga, Santander
Period26/10/1628/10/16

Keywords

  • Extubation Process
  • Support Vector Machines
  • Symbolic Dynamics

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