Study on regurgitation using the coupling model of left ventricular assist device and cardiovascular system_Journal of Biomedical Engineering

Authors：

 WANG Fangqun ¹ , WU Zhenhai ¹ , JING Teng ² , XU Qing ³ , YAO Jinhao ³ , JI Jinghua ³

1. Department of Biomedical Engineering, School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, P.R.China;
2. Department of Biomedical Engineering, School of Fluid Machinery and Technology, Jiangsu University, Zhenjiang, Jiangsu 212013, P.R.China;
3. Department of Electrical Engineering and Automation, School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, P.R.China;

Corresponding author：

WANG Fangqun, Email: lingo@ujs.edu.cn

Keywords：

left ventricular assist device; the theory of dynamic closed cavity; regurgitation index; classification

DOI：

10.7507/1001-5515.201702033

Video：

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Abstract Full text Figures/Tables Video References Cited by

Regurgitation is an abnormal condition happens when left ventricular assist devices (LVADs) operated at a low speed, which causes LVAD to fail to assist natural blood-pumping by heart and thus affects patients’ health. According to the degree of regurgitation, three LVAD’s regurgitation states were identified in this paper: no regurgitation, slight regurgitation and severe regurgitation. Regurgitation index (RI), which is presented based on the theory of dynamic closed cavity, is used to grade the regurgitation of LVAD. Numerical results showed that when patients are in exercising, resting and sleeping state, the critical speed between slight regurgitation and no regurgitation are 6 650 r/min, 7 000 r/min and 7 250 r/min, respectively, with corresponding RI of 0.401, 0.300 and 0.238, respectively. And the critical speed between slight regurgitation and severe regurgitation are 5 500 r/min, 6 000 r/min and 6 450 r/min, with corresponding RI of 0.488, 0.359 and 0.284 respectively. In addition, there is a negative relation correction between RI and rotational speed, so that grading the LVAD’s regurgitation can be achieved by determining the corresponding critical speed. Therefore, the detective parameter RI based on the signal of flow is proved to be able to grade LVAD’s regurgitation states effectively and contribute to the detection of LVAD’s regurgitation, which provides theoretical basis and technology support for developing a LVADs controlling system with high reliability.

Citation： WANG Fangqun, WU Zhenhai, JING Teng, XU Qing, YAO Jinhao, JI Jinghua. Study on regurgitation using the coupling model of left ventricular assist device and cardiovascular system. Journal of Biomedical Engineering, 2017, 34(5): 752-759. doi: 10.7507/1001-5515.201702033 Copy

1.	国家心血管病中心. 中国心血管病报告 2014. 北京: 中国大百科全书出版社, 2015: 1-189.
2.	Tchantchaleishvili V, Luc J G, Cohan C M, et al. Clinical implications of physiologic flow adjustment in Continuous-Flow left ventricular assist devices. ASAIO Journal, 2017, 63(3): 241-250.
3.	Kadakia S, Moore R, Ambur V, et al. Current status of the implantable LVAD. Gen Thorac Cardiovasc Surg, 2016, 64(9): 501-508.
4.	Pauls J P, Stevens M C, Bartnikowski N A, et al. Evaluation of physiological control systems for rotary left ventricular assist devices: an <italic>in-vitro</italic> study. Ann Biomed Eng, 2016, 44(8): 2377-2387.
5.	Arakawa M, Nishimura T, Takewa Y, et al. Pulsatile support using a rotary left ventricular assist device with an electrocardiography-synchronized rotational speed control mode for tracking heart rate variability. J Artif Organs, 2016, 19(2): 204-207.
6.	May-Newman K, Fisher B, Hara M, et al. Mitral valve regurgitation in the LVAD-Assisted heart studied in a mock circulatory loop. Cardiovasc Eng Technol, 2016, 7(2): 139-147.
7.	Reesink K, Dekker A, van der Nagel T, et al. Suction due to left ventricular assist: Implications for device control and management. Artif Organs, 2007, 31(7): 542-549.
8.	Simaan M A, Ferreira A, Chen S, et al. A dynamical state space representation and performance analysis of a Feedback-Controlled rotary left ventricular assist device. IEEE Transactions on Control Systems Technology, 2009, 17(1): 15-28.
9.	Wang Yu, Koenig S C, Slaughter M S, et al. Suction prevention and physiologic control of continuous flow left ventricular assist devices using intrinsic pump parameters. ASAIO Journal, 2015, 61(2): 170-177.
10.	Tayama E, Ohashi Y, Niimi Y, et al. Estimation of the minimum pump speed to prevent regurgitation in the continuous flow left ventricular assist device:left ventricular drainage versus left atrial drainage. Artif Organs, 1997, 21(12): 1288-1291.
11.	Tayama E, Ohashi Y, Niimi Y, et al. The safety system for the rotary blood pump, combination of the valve and LVAD pulsatile mode: <italic>in vitro</italic> test. Artif Organs, 1998, 22(4): 342-345.
12.	Yuhki A, Hatoh E, Nogawa M, et al. Detection of suction and regurgitation of the implantable centrifugal pump based on the motor current waveform analysis and its application to optimization of pump flow. Artif Organs, 1999, 23(6): 532-537.
13.	Ando M, Nishimura T, Takewa Y, et al. A novel counterpulse drive mode of continuous-flow left ventricular assist devices can minimize intracircuit backward flow during pump weaning. J Artif Organs, 2011, 14(1): 74-79.
14.	王芳群, 徐庆, 吴振海, 等. 基于左心辅助的血液循环系统的控制研究. 生物医学工程学杂志, 2016, 33(6): 1075-10830.
15.	Goldwyn R M, Watt T B. Arterial pressure pulse contour analysis via a mathematical model for clinical quantification of human vascular properties. IEEE Trans Biomed Eng, 1967, BM14(1): 11-17.
16.	温太阳, 王芳群, 王颢, 等. 基于二尖瓣时变电阻模型的左心血液循环系统建模与仿真. 中国生物医学工程学报, 2015, 34(3): 370-3750.
17.	Gao Bin, Gu Kaiyun, Zeng Yi, et al. An Anti-Suction control for an Intra-Aorta pump using blood assistant index: a numerical simulation. Artif Organs, 2012, 36(3): 275-U183.
18.	Tanaka A, Yoshizawa M, Olegario P, et al. Detection and avoiding ventricular suction of ventricular assist devices. Conf Proc IEEE Eng Med Biol Soc, 2005, 1(1): 402-405.
19.	吴根茂. 动态封闭容腔及其压力基本公式. 流体传动与控制, 2007(3): 54-560.
20.	莫尔曼, 海勒. 心血管生理学. 天津: 天津科技翻译出版公司, 2010: 1-251.
21.	Bozkurt S, Safak K K. Evaluating the hemodynamical response of a cardiovascular system under support of a continuous flow left ventricular assist device via numerical modeling and dimulations. Comput Math Methods Med, 2013(3): 986430.
22.	Faragallah G. Treatment-specific approaches for analysis and control of left ventricular assist devices. Orlando: University of Central Florida, 2014.

1. 国家心血管病中心. 中国心血管病报告 2014. 北京: 中国大百科全书出版社, 2015: 1-189.
2. Tchantchaleishvili V, Luc J G, Cohan C M, et al. Clinical implications of physiologic flow adjustment in Continuous-Flow left ventricular assist devices. ASAIO Journal, 2017, 63(3): 241-250.
3. Kadakia S, Moore R, Ambur V, et al. Current status of the implantable LVAD. Gen Thorac Cardiovasc Surg, 2016, 64(9): 501-508.
4. Pauls J P, Stevens M C, Bartnikowski N A, et al. Evaluation of physiological control systems for rotary left ventricular assist devices: an <italic>in-vitro</italic> study. Ann Biomed Eng, 2016, 44(8): 2377-2387.
5. Arakawa M, Nishimura T, Takewa Y, et al. Pulsatile support using a rotary left ventricular assist device with an electrocardiography-synchronized rotational speed control mode for tracking heart rate variability. J Artif Organs, 2016, 19(2): 204-207.
6. May-Newman K, Fisher B, Hara M, et al. Mitral valve regurgitation in the LVAD-Assisted heart studied in a mock circulatory loop. Cardiovasc Eng Technol, 2016, 7(2): 139-147.
7. Reesink K, Dekker A, van der Nagel T, et al. Suction due to left ventricular assist: Implications for device control and management. Artif Organs, 2007, 31(7): 542-549.
8. Simaan M A, Ferreira A, Chen S, et al. A dynamical state space representation and performance analysis of a Feedback-Controlled rotary left ventricular assist device. IEEE Transactions on Control Systems Technology, 2009, 17(1): 15-28.
9. Wang Yu, Koenig S C, Slaughter M S, et al. Suction prevention and physiologic control of continuous flow left ventricular assist devices using intrinsic pump parameters. ASAIO Journal, 2015, 61(2): 170-177.
10. Tayama E, Ohashi Y, Niimi Y, et al. Estimation of the minimum pump speed to prevent regurgitation in the continuous flow left ventricular assist device:left ventricular drainage versus left atrial drainage. Artif Organs, 1997, 21(12): 1288-1291.
11. Tayama E, Ohashi Y, Niimi Y, et al. The safety system for the rotary blood pump, combination of the valve and LVAD pulsatile mode: <italic>in vitro</italic> test. Artif Organs, 1998, 22(4): 342-345.
12. Yuhki A, Hatoh E, Nogawa M, et al. Detection of suction and regurgitation of the implantable centrifugal pump based on the motor current waveform analysis and its application to optimization of pump flow. Artif Organs, 1999, 23(6): 532-537.
13. Ando M, Nishimura T, Takewa Y, et al. A novel counterpulse drive mode of continuous-flow left ventricular assist devices can minimize intracircuit backward flow during pump weaning. J Artif Organs, 2011, 14(1): 74-79.
14. 王芳群, 徐庆, 吴振海, 等. 基于左心辅助的血液循环系统的控制研究. 生物医学工程学杂志, 2016, 33(6): 1075-10830.
15. Goldwyn R M, Watt T B. Arterial pressure pulse contour analysis via a mathematical model for clinical quantification of human vascular properties. IEEE Trans Biomed Eng, 1967, BM14(1): 11-17.
16. 温太阳, 王芳群, 王颢, 等. 基于二尖瓣时变电阻模型的左心血液循环系统建模与仿真. 中国生物医学工程学报, 2015, 34(3): 370-3750.
17. Gao Bin, Gu Kaiyun, Zeng Yi, et al. An Anti-Suction control for an Intra-Aorta pump using blood assistant index: a numerical simulation. Artif Organs, 2012, 36(3): 275-U183.
18. Tanaka A, Yoshizawa M, Olegario P, et al. Detection and avoiding ventricular suction of ventricular assist devices. Conf Proc IEEE Eng Med Biol Soc, 2005, 1(1): 402-405.
19. 吴根茂. 动态封闭容腔及其压力基本公式. 流体传动与控制, 2007(3): 54-560.
20. 莫尔曼, 海勒. 心血管生理学. 天津: 天津科技翻译出版公司, 2010: 1-251.
21. Bozkurt S, Safak K K. Evaluating the hemodynamical response of a cardiovascular system under support of a continuous flow left ventricular assist device via numerical modeling and dimulations. Comput Math Methods Med, 2013(3): 986430.
22. Faragallah G. Treatment-specific approaches for analysis and control of left ventricular assist devices. Orlando: University of Central Florida, 2014.

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