Modelling patient’s spontaneous effort during controlled mechanical ventilation using basis functions

Ganesa Ramachandran Arunachalam; Yeong Shiong Chiew; Chee Pin Tan; Azrina Mohd Ralib; Mohd Basri Mat Nor

doi:10.1007/978-3-030-65092-6_4

Modelling patient’s spontaneous effort during controlled mechanical ventilation using basis functions

Ganesa Ramachandran Arunachalam, Yeong Shiong Chiew, Chee Pin Tan, Azrina Mohd Ralib, Mohd Basri Mat Nor

Malaysia School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

Abstract

During mechanical ventilation (MV) of respiratory failure patients, clinicians require real time patient-specific lung condition to set MV treatment. Application of mathematical models to determine patient-specific condition in setting MV is increasingly sought after amongst clinicians. However, when the patient is breathing spontaneously during controlled ventilation modes, estimation of respiratory mechanics becomes erroneous due to presence of patient inspiratory effort. Thus, there is a need to determine patient’s respiratory mechanics during the presence of these efforts. This study presents a mathematical expression built on the single compartment model to determine patient respiratory mechanics. The model uses basis function and takes patient inspiratory effort into account. Inspiratory efforts of 1125 cases were simulated to determine the model performance and its stability. The study revealed that the model was capable of estimating asynchronous airway pressure. The model can be potentially useful to simulate any nonlinear airway pressure waveform with spontaneous effort.

Original language	English
Title of host publication	Proceedings of ICIBEL 2019
Editors	Fatimah Ibrahim, Juliana Usman, Mohd Yazed Ahmad, Norhamizan Hamzah
Place of Publication	Cham Switzerland
Publisher	Springer
Pages	35-45
Number of pages	11
ISBN (Electronic)	9783030650926
ISBN (Print)	9783030650919
DOIs	https://doi.org/10.1007/978-3-030-65092-6_4
Publication status	Published - 2021
Event	International Conference for Innovation in Biomedical Engineering and Life Sciences 2020 - Kuala Lumpur, Malaysia Duration: 6 Dec 2019 → 7 Dec 2019 Conference number: 3es https://link.springer.com/book/10.1007/978-3-030-65092-6 (Proceedings)

Publication series

Name	IFMBE Proceedings
Publisher	Springer
Volume	81
ISSN (Print)	1680-0737
ISSN (Electronic)	1433-9277

Conference

Conference	International Conference for Innovation in Biomedical Engineering and Life Sciences 2020
Abbreviated title	ICIBEL 2020
Country/Territory	Malaysia
City	Kuala Lumpur
Period	6/12/19 → 7/12/19
Internet address	https://link.springer.com/book/10.1007/978-3-030-65092-6 (Proceedings)

Keywords

Inspiratory effort
Mechanical ventilation
Respiratory mechanics model

Access to Document

10.1007/978-3-030-65092-6_4

Cite this

Arunachalam, G. R., Chiew, Y. S., Tan, C. P., Ralib, A. M., & Nor, M. B. M. (2021). Modelling patient’s spontaneous effort during controlled mechanical ventilation using basis functions. In F. Ibrahim, J. Usman, M. Y. Ahmad, & N. Hamzah (Eds.), Proceedings of ICIBEL 2019 (pp. 35-45). (IFMBE Proceedings; Vol. 81). Springer. https://doi.org/10.1007/978-3-030-65092-6_4

@inproceedings{803101c7c440471e8ee04db2d4080479,

title = "Modelling patient{\textquoteright}s spontaneous effort during controlled mechanical ventilation using basis functions",

abstract = "During mechanical ventilation (MV) of respiratory failure patients, clinicians require real time patient-specific lung condition to set MV treatment. Application of mathematical models to determine patient-specific condition in setting MV is increasingly sought after amongst clinicians. However, when the patient is breathing spontaneously during controlled ventilation modes, estimation of respiratory mechanics becomes erroneous due to presence of patient inspiratory effort. Thus, there is a need to determine patient{\textquoteright}s respiratory mechanics during the presence of these efforts. This study presents a mathematical expression built on the single compartment model to determine patient respiratory mechanics. The model uses basis function and takes patient inspiratory effort into account. Inspiratory efforts of 1125 cases were simulated to determine the model performance and its stability. The study revealed that the model was capable of estimating asynchronous airway pressure. The model can be potentially useful to simulate any nonlinear airway pressure waveform with spontaneous effort.",

keywords = "Inspiratory effort, Mechanical ventilation, Respiratory mechanics model",

author = "Arunachalam, {Ganesa Ramachandran} and Chiew, {Yeong Shiong} and Tan, {Chee Pin} and Ralib, {Azrina Mohd} and Nor, {Mohd Basri Mat}",

note = "Funding Information: Acknowledgement. The authors would like to thank the Ministry of Higher Education Malaysia (MOHE) Fundamental research grant scheme (FRGS) (Ref: FRGS/1/2016/TK03/MUSM/03/2), Monash University Malaysia Advance Engineering Platform (AEP) and the MedTech Centre of Research Expertise, University of Canterbury for funding and support of this research. Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.; International Conference for Innovation in Biomedical Engineering and Life Sciences 2020, ICIBEL 2020 ; Conference date: 06-12-2019 Through 07-12-2019",

year = "2021",

doi = "10.1007/978-3-030-65092-6_4",

language = "English",

isbn = "9783030650919",

series = "IFMBE Proceedings",

publisher = "Springer",

pages = "35--45",

editor = "Fatimah Ibrahim and Juliana Usman and Ahmad, {Mohd Yazed} and Norhamizan Hamzah",

booktitle = "Proceedings of ICIBEL 2019",

url = "https://link.springer.com/book/10.1007/978-3-030-65092-6",

}

Arunachalam, GR, Chiew, YS , Tan, CP, Ralib, AM & Nor, MBM 2021, Modelling patient’s spontaneous effort during controlled mechanical ventilation using basis functions. in F Ibrahim, J Usman, MY Ahmad & N Hamzah (eds), Proceedings of ICIBEL 2019. IFMBE Proceedings, vol. 81, Springer, Cham Switzerland, pp. 35-45, International Conference for Innovation in Biomedical Engineering and Life Sciences 2020, Kuala Lumpur, Malaysia, 6/12/19. https://doi.org/10.1007/978-3-030-65092-6_4

Modelling patient’s spontaneous effort during controlled mechanical ventilation using basis functions. / Arunachalam, Ganesa Ramachandran; Chiew, Yeong Shiong ; Tan, Chee Pin et al.
Proceedings of ICIBEL 2019. ed. / Fatimah Ibrahim; Juliana Usman; Mohd Yazed Ahmad; Norhamizan Hamzah. Cham Switzerland: Springer, 2021. p. 35-45 (IFMBE Proceedings; Vol. 81).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

TY - GEN

T1 - Modelling patient’s spontaneous effort during controlled mechanical ventilation using basis functions

AU - Arunachalam, Ganesa Ramachandran

AU - Chiew, Yeong Shiong

AU - Tan, Chee Pin

AU - Ralib, Azrina Mohd

AU - Nor, Mohd Basri Mat

N1 - Conference code: 3es

PY - 2021

Y1 - 2021

N2 - During mechanical ventilation (MV) of respiratory failure patients, clinicians require real time patient-specific lung condition to set MV treatment. Application of mathematical models to determine patient-specific condition in setting MV is increasingly sought after amongst clinicians. However, when the patient is breathing spontaneously during controlled ventilation modes, estimation of respiratory mechanics becomes erroneous due to presence of patient inspiratory effort. Thus, there is a need to determine patient’s respiratory mechanics during the presence of these efforts. This study presents a mathematical expression built on the single compartment model to determine patient respiratory mechanics. The model uses basis function and takes patient inspiratory effort into account. Inspiratory efforts of 1125 cases were simulated to determine the model performance and its stability. The study revealed that the model was capable of estimating asynchronous airway pressure. The model can be potentially useful to simulate any nonlinear airway pressure waveform with spontaneous effort.

AB - During mechanical ventilation (MV) of respiratory failure patients, clinicians require real time patient-specific lung condition to set MV treatment. Application of mathematical models to determine patient-specific condition in setting MV is increasingly sought after amongst clinicians. However, when the patient is breathing spontaneously during controlled ventilation modes, estimation of respiratory mechanics becomes erroneous due to presence of patient inspiratory effort. Thus, there is a need to determine patient’s respiratory mechanics during the presence of these efforts. This study presents a mathematical expression built on the single compartment model to determine patient respiratory mechanics. The model uses basis function and takes patient inspiratory effort into account. Inspiratory efforts of 1125 cases were simulated to determine the model performance and its stability. The study revealed that the model was capable of estimating asynchronous airway pressure. The model can be potentially useful to simulate any nonlinear airway pressure waveform with spontaneous effort.

KW - Inspiratory effort

KW - Mechanical ventilation

KW - Respiratory mechanics model

UR - http://www.scopus.com/inward/record.url?scp=85101395537&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-65092-6_4

DO - 10.1007/978-3-030-65092-6_4

M3 - Conference Paper

AN - SCOPUS:85101395537

SN - 9783030650919

T3 - IFMBE Proceedings

SP - 35

EP - 45

BT - Proceedings of ICIBEL 2019

A2 - Ibrahim, Fatimah

A2 - Usman, Juliana

A2 - Ahmad, Mohd Yazed

A2 - Hamzah, Norhamizan

PB - Springer

CY - Cham Switzerland

T2 - International Conference for Innovation in Biomedical Engineering and Life Sciences 2020

Y2 - 6 December 2019 through 7 December 2019

ER -

Modelling patient’s spontaneous effort during controlled mechanical ventilation using basis functions

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Cite this