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性心脏病的神经心脏机制， 心源性死亡 申请人指出，神经心脏病学方法超过 在过去的二十年里，在动物和人类的研究中， 社会心理压力源，高级大脑整合中心， 自主神经具有重要的调节作用，甚至可能是因果作用， 在致死性心室颤动（VF）的过程中。 心率 心率变异性（HRV）主要由神经系统调节。 改变的 HRV的范围、同步性或模式可预测前瞻性研究中的风险。 临床研究。 其中，申请人认为， 可变性，以混沌维度的减少为代表， 心脏跳动，似乎最好的预测VF，但这种措施只进行了研究 高危患者群体。 申请人现在希望研究此HRV 措施，以及其他有前途的随机和确定性措施，沿着 候选措施，在实验性缺血期间收集的数据中， 清醒的猪，一个准备，其中神经心脏变量调节 可以系统地控制VF的脆弱性。 申请人还 希望将他对心率变异性的研究与 心跳产生和胚胎发生。 申请人开发了一个 他可以将理论模型的变量重新映射为 每次心跳的QT和RR-QT子间期。 为支持这一 策略，申请人发现1）QT的预测排除区域与 RR-QT动力学; 2）通过神经心脏传导， 已知增加VF风险的变量，和3）当 QT与RR-QT动力学进入排除区。 申请人的最终目标是 为了模拟这些现象，使用数学模拟的兴奋， 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.