Predictable capability control scheme for oxygen-exchange blood flow regulation in an extracorporeal membrane oxygenation system

Chung Dann Kan, Wei Ling Chen, Chia Hung Lin, Ying Shin Chen

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)155-162
Number of pages8
JournalIET Systems Biology
Volume11
Issue number6
DOIs
Publication statusPublished - 2017 Dec 1

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Modelling and Simulation
  • Molecular Biology
  • Genetics
  • Cell Biology

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