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Resonant frequency control for artificial heart using online parameter identification.

Ryo Kosaka¹, Yoshiyuki Sankai, Tomoaki Jikuya

¹Institute of Systems and Engineering Mechanics, University of Tsukuba, Japan. kosaka@golem.kz.tsukuba.ac.jp

Artificial Organs

|September 24, 2004

Summary

A novel control method for artificial hearts adapts to physiological changes using measured data. This approach accurately estimates key parameters and reduces systemic circulation impedance.

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Area of Science:

Biomedical Engineering
Medical Devices
Control Systems

Background:

Effective control of artificial hearts is crucial for patient care.
Adapting artificial heart function to real-time physiological changes remains a challenge.

Purpose of the Study:

To develop and evaluate a new adaptive control method for artificial hearts.
To improve artificial heart responsiveness and reduce systemic impedance.

Main Methods:

Developed a second-order physiological model representing internal bodily behavior.
Implemented a parameter identification method to estimate physiological parameters (aortic inertia, resistance, compliance, peripheral resistance).
Calculated resonant frequency as a control signal using the identified physiological model.

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Main Results:

Computer simulations demonstrated accurate estimation of physiological parameters within a 10% error.
The resonant frequency was effectively calculated as a control signal.
The proposed method successfully reduced the impedance of the systemic circulation.

Conclusions:

The new control method effectively adapts artificial heart function to physiological dynamics.
Accurate parameter estimation and resonant frequency calculation are achievable.
This approach shows promise for improving artificial heart performance and patient outcomes.