Abstract
A growing concern in the field of mechanical ventilation (MV) treatment is the lack of optimal patient-specific ventilator setting and automation for spontaneously breathing patients. Model-based respiratory mechanics have been introduced as a non-invasive method of performing respiratory mechanics estimation. In volume-control ventilation (VC), patient’s spontaneous effort causes anomalies in the airway pressure reading, which cause alterations in the airway pressure delivered. As a result, MV patient’s respiratory mechanics cannot be determined for treatment purposes. To remedy this, a ‘polynomial model’ was investigated and the results show a practically nonidentifiable model. In this study, a ‘sine-wave model’ where a sinusoidal function added to the single compartment model to describe and capture the patient effort is presented. Monte-Carlo Analysis and identifiability analysis was carried out to determine the performance and stability of the sine-wave model. The results of this study indicate that the sine-wave model fits pressure waveforms with patient effort well but it is practically nonidentifiable in some cases. Misidentification of respiratory mechanics arises when critical characteristics of the pressure waveform are unexpressed. Future research should be focused on models that are not extensions of the single compartment model.
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 | 3-13 |
Number of pages | 11 |
ISBN (Electronic) | 9783030650926 |
ISBN (Print) | 9783030650919 |
DOIs | |
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 |
|
Keywords
- Identifiability analysis
- Mechanical ventilation
- Parameter identification
- Respiratory mechanics models