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

doi:10.1007/978-981-10-4086-3_117

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

Ingeniería Mecatrónica

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	7th Latin American Congress on Biomedical Engineering, CLAIB 2016
Editors	John Bustamante, Daniel A. Sierra, Isnardo Torres
Publisher	Springer Verlag
Pages	465-468
Number of pages	4
ISBN (Print)	9789811040856
DOIs	https://doi.org/10.1007/978-981-10-4086-3_117
State	Published - 2017
Event	7th Latin American Congress on Biomedical Engineering, CLAIB 2016 - Bucaramanga, Santander, Colombia Duration: 26 Oct 2016 → 28 Oct 2016

Publication series

Name	IFMBE Proceedings
Volume	60
ISSN (Print)	1680-0737

Conference

Conference	7th Latin American Congress on Biomedical Engineering, CLAIB 2016
Country/Territory	Colombia
City	Bucaramanga, Santander
Period	26/10/16 → 28/10/16

Keywords

Extubation Process
Support Vector Machines
Symbolic Dynamics

Access to Document

10.1007/978-981-10-4086-3_117

Cite this

Trapero, J. I., Arizmendi, C. J., Forero, C. A., Lopez, S. K., & Giraldo, B. F. (2017). Cardiorespiratory interaction using nonlinear data processing techniques in patients undergoing test tube T. In J. Bustamante, D. A. Sierra, & I. Torres (Eds.), 7th Latin American Congress on Biomedical Engineering, CLAIB 2016 (pp. 465-468). (IFMBE Proceedings; Vol. 60). Springer Verlag. https://doi.org/10.1007/978-981-10-4086-3_117

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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.",

keywords = "Extubation Process, Support Vector Machines, Symbolic Dynamics",

author = "Trapero, {J. I.} and Arizmendi, {Carlos Julio} and Forero, {C. A.} and Lopez, {S. K.} and Giraldo, {B. F.}",

note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2017.; null ; Conference date: 26-10-2016 Through 28-10-2016",

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Trapero, JI, Arizmendi, CJ , Forero, CA, Lopez, SK & Giraldo, BF 2017, Cardiorespiratory interaction using nonlinear data processing techniques in patients undergoing test tube T. in J Bustamante, DA Sierra & I Torres (eds), 7th Latin American Congress on Biomedical Engineering, CLAIB 2016. IFMBE Proceedings, vol. 60, Springer Verlag, pp. 465-468, 7th Latin American Congress on Biomedical Engineering, CLAIB 2016, Bucaramanga, Santander, Colombia, 26/10/16. https://doi.org/10.1007/978-981-10-4086-3_117

Cardiorespiratory interaction using nonlinear data processing techniques in patients undergoing test tube T. / Trapero, J. I.; Arizmendi, Carlos Julio ; Forero, C. A. et al.

7th Latin American Congress on Biomedical Engineering, CLAIB 2016. ed. / John Bustamante; Daniel A. Sierra; Isnardo Torres. Springer Verlag, 2017. p. 465-468 (IFMBE Proceedings; Vol. 60).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Trapero, J. I.

AU - Arizmendi, Carlos Julio

AU - Forero, C. A.

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AU - Giraldo, B. F.

N1 - Publisher Copyright: © Springer Nature Singapore Pte Ltd. 2017.

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

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KW - Support Vector Machines

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Trapero JI, Arizmendi CJ , Forero CA, Lopez SK, Giraldo BF. Cardiorespiratory interaction using nonlinear data processing techniques in patients undergoing test tube T. In Bustamante J, Sierra DA, Torres I, editors, 7th Latin American Congress on Biomedical Engineering, CLAIB 2016. Springer Verlag. 2017. p. 465-468. (IFMBE Proceedings). https://doi.org/10.1007/978-981-10-4086-3_117

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

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