MATHEMATICAL MODELING OF HEART RHYTHM DISORDERS

心律失常的数学模型

• 批准号: 8171752
• 负责人: Xiaopeng Zhao
• 金额: $ 0.14万
• 依托单位: CARNEGIE-MELLON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-01 至 2013-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8171752
• 关键词: Area; Behavior; Biological; Blood; Cardiac; Cells; Cessation of life; Chemicals; Complex; Computer Retrieval of Information on Scientific Projects Database; Disease; Feeling; Funding; Grant; Hand; Heart; Heart Atrium; Institution; Investigation; Ion Channel; Left; Life; Mechanics; Modeling; Monitor; Muscle Contraction; Nonlinear Dynamics; Organ; Patients; Property; Research; Research Personnel; Resources; Risk; Sinus; Source; Stroke; System; Techniques; Tissues; United States; United States National Institutes of Health; Ventricular Fibrillation; heart rhythm; improved; mathematical model; multi-scale modeling; prevent; sudden cardiac death; tool

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The heart is a complex nonlinear system, whose function involves the interaction between mechanical contractions and waves of electrochemical excitation. Heartbeats are the result of the nonlinear behaviors of these electrical and mechanical functions. During normal heartbeats, the waves of excitation generate a coordinated contraction of the muscle, known as normal sinus rhythm. In some situations, the orderly waves develop into a complex dynamical state known as fibrillation, which leads to disorganized muscle contractions. Fibrillation in the atria, although not lethal, leaves a patient feeling tired and may increase the risk of stroke. On the other hand, ventricular fibrillation is more dreadful. During ventricular fibrillation, disorganized contractions of the ventricles fail to eject blood effectively, leading to death within a few minutes if left untreated. Ventricular fibrillation is the main cause of sudden cardiac death, which claims 300,000-400,000 lives a year in the United States. A complete understanding of heart rhythm disorders requires a system-levels investigation on the interaction between electrical, chemical, and mechanical activities on biological scales ranging from ion channels to single cells to multi-cellular tissue and organ. While it is difficult if not impossible to monitor and control all these factors in the lab, mathematical modeling provides a useful tool for this purpose. A systems-level understanding of cardiac nonlinear dynamics will not only improve the ability to predict and prevent lethal heart rhythms but also drives the advance of techniques of mathematical modeling in areas such as model reduction, emergent properties, and multiscale modeling.

该副本是利用众多研究子项目之一 由NIH/NCRR资助的中心赠款提供的资源。子弹和 调查员（PI）可能已经从其他NIH来源获得了主要资金， 因此可以在其他清晰的条目中代表。列出的机构是 对于中心，这不一定是调查员的机构。 心脏是一个复杂的非线性系统，其功能涉及机械收缩与电化学激发波之间的相互作用。心跳是这些电气和机械函数非线性行为的结果。在正常的心跳期间，激发波会产生肌肉的协调收缩，称为正常窦性节奏。在某些情况下，有序的波发育成一种复杂的动力学状态，称为纤颤，从而导致肌肉收缩混乱。心房中的纤颤，尽管不是致命的，但却使患者感到疲倦，并可能增加中风的风险。另一方面，心室纤维化更加可怕。在心室纤颤期间，室心的混闭收缩无法有效排出血液，如果未经治疗，几分钟内就会死亡。心室纤颤是突然心脏死亡的主要原因，在美国，每年占300,000-400,000的寿命。对心律疾病的完全了解需要对从离子通道到单个细胞再到多细胞组织和器官的生物尺度上的电气，化学和机械活动之间的相互作用进行系统级研究。尽管很难在实验室中监视和控制所有这些因素，但数学建模为此提供了有用的工具。对心脏非线性动力学的系统级别的理解不仅会提高预测和预防致命心律的能力，而且还可以推动在模型降低，新兴特性和多尺度建模等领域的数学建模技术的进步。