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Total Artificial Heart Using Neural and Fuzzy Controller
Author(s) -
Lee Minho,
Ahn Jae Mok,
Min Byoung Goo,
Lee SooYoung,
Park Cheol Hoon
Publication year - 1996
Publication title -
artificial organs
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.684
H-Index - 76
eISSN - 1525-1594
pISSN - 0160-564X
DOI - 10.1111/j.1525-1594.1996.tb00664.x
Subject(s) - artificial heart , control theory (sociology) , suction , controller (irrigation) , fuzzy logic , computer science , actuator , implant , fuzzy control system , artificial neural network , biomedical engineering , artificial intelligence , medicine , engineering , surgery , control (management) , biology , mechanical engineering , agronomy
The aortic pressure (AoP) and pulmonary artery pressure (PAP) are important factors for the long‐term survival of the patient receiving an implant of a total artificial heart (TAH). A new afterload regulation method using neural controllers has been developed for a moving actuator type TAH. Without any transducer, the proposed neural controller, based on the predetermined peak level of the motor current, regulates AoP by adjusting the actuator velocity. At the same time, a fuzzy controller based on expert knowledge prevents the PAP from being abnormally high. The proposed controller not only regulates the pump output on the maintenance of the normal AoP and PAP, but it also successfully controls the suction in the right heart. In vitro tests show that the proposed neural and fuzzy controllers effectively regulate AoP and PAP as well as prevent atrial suction.