基于能量融合积分模型的心脏生理物理活动研究
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山东大学计算机科学与技术学院,中国海洋大学教育技术系,哈尔滨学院艺术与设计学院,哈尔滨工业大学计算机科学与技术学院,中国科学院声学研究所

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国家自然科学基金资助项目(61502275, 61501450)


Study of Cardiac Physiological and Physical Activities by Energy Blending Integral Model
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School of Computer Science and Technology, Shandong University,Department of Educational Technology, Ocean University of China,School of Art and Design, Harbin University,School of Computer Science and Technology, Harbin Institute of Technology,Institute of Acoustics, Chinese Academy of Sciences

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This work was supported by grants from The National Natural Science Foundation of China (61502275, 61501450)

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    摘要:

    为了更深入地了解目前靠生理实验及临床手段无法洞察的心脏三维空间的电生理运行机制,分析和表现心脏复杂的电生理活动,从而揭示心脏的生理物理特性,本研究通过人类心肌细胞的动作电位传导数学模型,结合基于心脏解剖数据所建立的真实心脏组织结构的三维空间模型,构建出精细的心脏生物物理融合模型,并将心脏在三维空间中的生物物理活动表现出来.实验结果表明,基于心脏动作电位传导的融合模型,不同时刻的动作电位传导在非匀质性组织内的三维空间中的传播位置、空间关系以及生物物理过程被清晰地显示出来,心脏研究人员从而能够以视觉感知的方式认识和深入理解人类心脏电生物物理系统的功能机制,并有助于进一步推测心脏的生理和病理反应.

    Abstract:

    In order to understand the cardiac electrophysiological mechanism more deeply as well as analyze and present complex electrophysiological activities of the heart, in this work we constructed a blending model to reveal the biophysical features of the heart. This model combined the mathematical physiological model of cardiac myocytes with the true cardiac tissue by the proposed energy blending absorption coefficient, which maps the tissue and electrophysiological attribute to the different optic property. The physiological activities of the heart in the three dimensional space are thus presented. The experimental results show that based on the blending model, the whole electrical conduction process in three-dimensional space within the inhomogeneous tissue at different time and the location where the activity starts and ends are clearly explored. Cardiac researchers are thus able to understand and deeply recognize the function mechanism of human cardiac bioelectricity physical system in a visual way, which helps to further speculate on the physiological and pathological responses of the heart.

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杨飞,吕伟刚,张雷,张越,刘磊.基于能量融合积分模型的心脏生理物理活动研究[J].生物化学与生物物理进展,2017,44(9):792-798

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历史
  • 收稿日期:2017-03-03
  • 最后修改日期:2017-06-06
  • 接受日期:2017-07-24
  • 在线发布日期: 2017-09-21
  • 出版日期: 2017-09-20