| Autor: |
Ganesa Ramachandran Arunachalam, Chiew Yeong Shiong, Johnston Lee Teong Jeen |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
IFMBE Proceedings ISBN: 9783030650919 |
| DOI: |
10.1007/978-3-030-65092-6_1 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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