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作者:

Gao, Bin (Gao, Bin.) | Chang, Yu (Chang, Yu.) (学者:常宇) | Gu, Kaiyun (Gu, Kaiyun.) | Zeng, Yi (Zeng, Yi.) | Liu, Youjun (Liu, Youjun.) (学者:刘有军)

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Scopus SCIE PubMed

摘要:

Left ventricular assist devices are increasingly used for long-term support in heart failure patients. It is important to find an optimum operating point for the pump that is appropriate for the existing function of the heart and the state of the circulatory system. Therefore, baroreflex sensitivity (BRS), as an indicator of heart function, is chosen as the control variable. In order to find an optimum point automatically, an extremum search algorithm (ESA) is designed to find an optimal mean arterial pressure (MAP), for which the BRS is maximum. Then, a MAP controller based on model-free adaptive control is designed to ensure that the measured MAP tracks the desired one. In order to test the feasibility of the control strategy, numerical simulations and simplified in vitro experiments were conducted. A mathematic model of the cardiovascular system simulating left ventricular failure, physical activity, and recovery of cardiac function is used in the simulation. The numerical simulations show that the maximum value of BRS can be found automatically by using ESA. The rotational speed of the pump is automatically increased (from 6500 rpm to 7000 rpm), and peripheral resistance is decreased to simulate slight physical activity. When E-max is increased from 0.6 mm Hg/mL to 1.8 mm Hg/mL to mimic heart recovery, the speed is decreased from 7000 rpm to 6300 rpm in response. The optimum operating point for the pump can be detected by the proposed control strategy without the need to set a reference value for the control variable by operators.

关键词:

Heart recovery Intra-aortic pump Model-free adaptive control Baroreflex sensitivity

作者机构:

  • [ 1 ] [Gao, Bin]Beijing Univ Technol, Sch Life Sci & BioEngn, Beijing 100124, Peoples R China
  • [ 2 ] [Chang, Yu]Beijing Univ Technol, Sch Life Sci & BioEngn, Beijing 100124, Peoples R China
  • [ 3 ] [Gu, Kaiyun]Beijing Univ Technol, Sch Life Sci & BioEngn, Beijing 100124, Peoples R China
  • [ 4 ] [Zeng, Yi]Beijing Univ Technol, Sch Life Sci & BioEngn, Beijing 100124, Peoples R China
  • [ 5 ] [Liu, Youjun]Beijing Univ Technol, Sch Life Sci & BioEngn, Beijing 100124, Peoples R China

通讯作者信息:

  • 常宇

    [Chang, Yu]Beijing Univ Technol, Sch Life Sci & BioEngn, Beijing 100124, Peoples R China

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来源 :

ARTIFICIAL ORGANS

ISSN: 0160-564X

年份: 2012

期: 12

卷: 36

页码: 1015-1025

2 . 4 0 0

JCR@2022

ESI学科: CLINICAL MEDICINE;

JCR分区:2

中科院分区:3

被引次数:

WoS核心集被引频次: 3

SCOPUS被引频次: 3

ESI高被引论文在榜: 0 展开所有

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中文被引频次:

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