LOW DIMENSIONAL CHAOS IN NEUROCARDIAC SYSTEMS

描述(改编自申请人的摘要)：申请人的 长期目标是了解突发事件背后的神经心脏机制 心源性死亡。申请者说神经心脏病学的方法超过 过去二十年，在动物和人类研究中，都清楚地表明 心理社会应激源，高级大脑综合中枢，以及 自主神经具有重要的调节作用，甚至可能是因果关系， 在致死性室颤(VF)的过程中。心率 变异性(HRV)主要由神经系统调节。更改后的 心率变异性的范围、同步性或模式可预测未来的风险 临床研究。在这些中，申请人认为改变了的模式 可变性，表现为降低了 心跳，似乎是预测室颤的最佳指标，但这一指标仅被研究过。 在高危患者群体中。申请者现在希望研究这个HRV 测量，以及其他有希望的随机和确定性 候选措施，在实验性脑缺血期间收集的数据中 清醒猪，一种神经心脏变量调节的制剂 VF的脆弱性是可以系统控制的。申请人亦须 希望将他对心率变异的研究与数学理论相结合 心跳的产生和心律失常的发生。申请者开发了一种 他可以将理论模型的变量重新映射到 每一次心跳的QT间期和RR-QT亚间期。为了支持这一点 策略申请人已发现1)QT与 RR-QT动力学；2)这一排斥区域按神经心脏的细分 已知的变量会增加室颤的风险，以及3)当 QT VS RR-QT动力学进入排除区。申请者的最终目标是 为了对这些现象进行建模，使用可兴奋的 有T波的介质。

DESCRIPTION (adapted from the applicant's abstract): The applicant's long-term goal is to understand the neurocardiac mechanism underlying sudden cardiac death. The applicant states that neurocardiological approaches over the past two decades, in both animal and human studies, have clearly shown that psychosocial stressors, higher cerebral integrative-centers, and the autonomic nerves have important regulatory roles, perhaps even causal ones, in the process of lethal ventricular fibrillation (VF). The heart rate variability (HRV) is primarily regulated by the nervous system. An altered range, synchrony or pattern of HRV is predictive of risk in prospective clinical studies. Of these, the applicant believes the altered pattern of variability, represented by a reduction in the chaotic dimension of the heartbeats, seems to best predict VF, but this measure has only been studied in high-risk patient groups. The applicant now wishes to study this HRV measure, along with other promising stochastic and deterministic candidate-measures, in data collected during experimental ischemia in the conscious pig, a preparation in which the neurocardiac variables regulating vulnerability to VF can be systematically controlled. The applicant also wishes to integrate his studies of HRV with a mathematical theory of heartbeat generation and arrhythmogenesis. The applicant developed a strategy in which he can remap the variables of the theoretical model into the QT and RR-QT subintervals of each heartbeat. In support of this strategy the applicant has found 1) a predicted exclusion area of the QT vs RR-QT dynamics; 2) a breakdown of this exclusion area by neurocardiac variables known to increase risk of VF, and 3) evoked arrhythmias when the QT vs RR-QT dynamics enter the exclusion area. The applicant's final aim is to model these phenomena, using a mathematical simulation of an excitable medium that has T-waves.