Fuzzy logic automatic control of the Phoenix-7 total artificial heart

Area of Science:

• Biomedical Engineering
• Artificial Organs
• Control Systems

Background:

• Clinical application of the Phoenix-7 total artificial heart (TAH) requires robust automatic physiological control.
• Existing control systems may necessitate manual intervention, limiting autonomous operation.

Purpose of the Study:

• To develop and evaluate a fuzzy logic automatic control algorithm for the pneumatic Phoenix-7 TAH.
• To regulate cardiac output based on preload and other hemodynamic parameters.

Main Methods:

• Development of a fuzzy logic control algorithm incorporating expert knowledge ('If condition, then action').
• Utilized cardiac output-type fuzzy pressure control for regulating the TAH.
• Analyzed the impact of inlet air pressures, aortic pressure, pulmonary artery pressure, and heart rate on cardiac output.
• Conducted in vitro experiments to validate control algorithm performance.

Main Results:

• The fuzzy logic control algorithm effectively regulated cardiac output in response to varying hemodynamic conditions.
• In vitro experiments demonstrated the good performance and reliability of the developed control system.
• Analysis confirmed the influence of key parameters on cardiac output regulation.

Conclusions:

• The developed fuzzy logic control algorithm offers a pathway towards fully automatic operation of the Phoenix-7 TAH.
• This system has the potential to eliminate the need for manual adjustments during variable hemodynamic conditions.
• The algorithm shows promise for enhancing the clinical utility and safety of the TAH.