An adaptive frequency – Voltage control model for extracorporeal supporting flow regulation in an extracorporeal membrane oxygenation system
| العنوان: | An adaptive frequency – Voltage control model for extracorporeal supporting flow regulation in an extracorporeal membrane oxygenation system |
|---|---|
| المؤلفون: | Chung Dann Kan, Ying Shin Chen, Chia-Hung Lin, Yi Chen Mai, Chen Wei-Ling |
| المصدر: | Intelligent Decision Technologies. 15:221-230 |
| بيانات النشر: | IOS Press, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | business.industry, medicine.medical_treatment, Voltage control, 020208 electrical & electronic engineering, 02 engineering and technology, 030204 cardiovascular system & hematology, Extracorporeal, Human-Computer Interaction, 03 medical and health sciences, surgical procedures, operative, 0302 clinical medicine, Artificial Intelligence, Flow regulation, 0202 electrical engineering, electronic engineering, information engineering, Extracorporeal membrane oxygenation, medicine, Computer Vision and Pattern Recognition, business, Software, Biomedical engineering |
| الوصف: | Extracorporeal membrane oxygenation (ECMO) is employed to treat critical patients for one to a few days of life support in intensive care units. Venovenous (VV) and venoarterial (VA) ECMO configurations are the most commonly used rescue strategies for temporary cardiac and respiratory function support. However, both ECMO modes sometimes cannot meet a patient’s demands because of (a) less oxygenated blood in either the upper body or lower body, or (b) a deterioration in the patient’s hemodynamic status. Veno-Venoarterial (VVA) ECMO is an upgraded system that provides sufficiently oxygenated blood to the systemic and pulmonary circulation systems. Drainage cannulas and gas flow exchanges are determined to provide the maximum drainage blood flow required by the patient through a servo-regulator that adjusts the motor speed. A generalized regression neural network (GRNN) based estimator is created to automatically estimate the desired pump speed and then provide sufficient drainage flow for temporary life support. To achieve stability flow in an ECMO circuit, a bisection approach algorithm (BAA) is employed to improve the performance of transient responses in step controls and steady state controls. Experimental studies are used to validate the proposed model and it is compared with conventional controllers to indicate good performance in clinical VVA ECMO applications. |
| تدمد: | 1875-8843 1872-4981 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_________::7d41c1fb4ff3c8d65c346878c4f0a7dbTest https://doi.org/10.3233/idt-200018Test |
| رقم الانضمام: | edsair.doi...........7d41c1fb4ff3c8d65c346878c4f0a7db |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 18758843 18724981 |
|---|