• Title/Summary/Keyword: total artificial heart

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Fuzzy Control Method for Balancing Left and Right Cardiac Output in Total Artificial Heart

  • Shin, In-Sun;Kim, Bo-Yeon;Lee, Sang-Hoon;Choi, Jin-Wook;Min, Byoung-Goo
    • Journal of Biomedical Engineering Research
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    • v.12 no.3
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    • pp.203-208
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    • 1991

  • Balancing left/right cardiac output is essential for the automatic control of total artificial hearts(TAH). A fuzzy logic-based control method is presented. We use left atrial pressure( LAP) ann right a'rial pressure( RAP ) as indicators for left/right balancing. The fuzzy controller has four input variables which are measured LAP and RAP and their gradients. Desired variations in left cardiac output(LCO) and right cardiac output(RCO) are cal- culated to keep LAP and RAP within the Physiological limlts. Computer simulations were performed to adjust fuzzy membership functions for variables and verify this control method. Results from simulations showed that LAP and RAP returned to the physiological limits while AoP and PAP stayed within the physiological limits.

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The Preload-Responsive Regulation of Cardiac Output in Total Artificial Heart Using Dual Adaptive Controller (2중 적응제어방식에 의한 전치환 인공심장의 전부하에 민감한 심박출량 조절)

  • Lee, Sang-Hoon;Kim, In-Young;Ahn, Hyuk;Min, Byoung-Goo
    • Journal of Biomedical Engineering Research
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    • v.14 no.1
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    • pp.41-50
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    • 1993

  • This paper proposes an adaptive technique for the cardiac output regulation of a pendulum type electromechanical TAH. This techinque, which consists of two RLSE's and two PASTC' 5, performs Its controllability over the TAIB so that the m(RAP) and m(LAP) values re- main close to their desired values under she assumption that the variation of m(RAP) and m (LAP) are dominated by the variation of C.0. and the difference between the left and right ventricular output, respectively. To evaluate the performance of the proposed control system, a simulation is performed by using a human model which contains physiologic, drug and treatment, artificial heart and noise models. As a result, dual adaptive controller showed that abnormal m(LAP) and m(RAP) could be recovered to the normal range within 10minute and maintained desired value in steady state. The operation of this controller prored to be robust in spite of the rapid variation of human status.

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