Predictable capability control scheme for oxygen‐exchange blood flow regulation in an extracorporeal membrane oxygenation system
| Autor: | Wei Ling Chen, Chia-Hung Lin, Chung Dann Kan, Ying Shin Chen |
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| Rok vydání: | 2017 |
| Předmět: |
Membrane oxygenator
Computer science medicine.medical_treatment Flow (psychology) Peristaltic pump 030204 cardiovascular system & hematology 03 medical and health sciences Extracorporeal Membrane Oxygenation 0302 clinical medicine Control theory Genetics Extracorporeal membrane oxygenation medicine Molecular Biology Oxygenators Membrane Operating point Equipment Design Cell Biology Blood flow Carbon Dioxide Oxygen 030228 respiratory system Modeling and Simulation Servo Research Article Biotechnology |
| Zdroj: | IET Syst Biol |
| ISSN: | 1751-8857 1751-8849 |
| DOI: | 10.1049/iet-syb.2017.0008 |
| Popis: | Extracorporeal membrane oxygenation system is used for rescue treatment strategies for temporary cardiopulmonary function support to facilitate adequately oxygenated blood to return into the systemic and pulmonary circulation systems. Therefore, a servo flow regulator is used to adjust the roller motor speed, while support blood flow can match the sweep gas flow (GF) in a membrane oxygenator. A generalised regression neural network is designed as an estimator to automatically estimate the desired roller pump speed and control parameters. Then, the proportional–integral–derivative controller with tuning control parameters showed good performance to achieve speed regulation and speed tracking in the desired operating point. Given the pressure of carbon dioxide, drainage blood flow, and cannula size, the proposed predictable capability control scheme can be validated to meet the intended uses in clinical applications. |
| Databáze: | OpenAIRE |
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