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采用神经模糊控制器的全人工心脏

Total artificial heart using neural and fuzzy controller.

作者信息

Lee M, Ahn J M, Min B G, Lee S Y, Park C H

机构信息

Department of Electrical Engineering, Korea Maritime University, Pusan.

出版信息

Artif Organs. 1996 Nov;20(11):1220-6. doi: 10.1111/j.1525-1594.1996.tb00664.x.

Abstract

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.

摘要

主动脉压力(AoP)和肺动脉压力(PAP)是接受全人工心脏(TAH)植入患者长期存活的重要因素。针对一种移动执行器型TAH,开发了一种使用神经控制器的新后负荷调节方法。所提出的神经控制器基于预定的电机电流峰值水平,无需任何传感器,通过调节执行器速度来调节AoP。同时,基于专家知识的模糊控制器可防止PAP异常升高。所提出的控制器不仅能在维持正常AoP和PAP的情况下调节泵输出,还能成功控制右心的吸力。体外测试表明,所提出的神经和模糊控制器能有效调节AoP和PAP,并防止心房吸力。

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