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

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther


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 languageEnglish
Title of host publicationProceedings of ICIBEL 2019
EditorsFatimah Ibrahim, Juliana Usman, Mohd Yazed Ahmad, Norhamizan Hamzah
Place of PublicationCham Switzerland
Number of pages11
ISBN (Electronic)9783030650926
ISBN (Print)9783030650919
Publication statusPublished - 2021
EventInternational Conference for Innovation in Biomedical Engineering and Life Sciences 2020 - Kuala Lumpur, Malaysia
Duration: 6 Dec 20197 Dec 2019
Conference number: 3es (Proceedings)

Publication series

NameIFMBE Proceedings
ISSN (Print)1680-0737
ISSN (Electronic)1433-9277


ConferenceInternational Conference for Innovation in Biomedical Engineering and Life Sciences 2020
Abbreviated titleICIBEL 2020
CityKuala Lumpur
Internet address


  • Inspiratory effort
  • Mechanical ventilation
  • Respiratory mechanics model

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