POWRE: Signal Processing of Spontaneous Arrhythmias Acquired Chronically in an Adriamycin Model of Heart Failure

POWRE：阿霉素心力衰竭模型中慢性自发性心律失常的信号处理

• 批准号: 9973513
• 负责人: Stephanie Schuckers
• 金额: $ 8.5万
• 依托单位: West Virginia University Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-07-01 至 2002-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9973513&HistoricalAwards=false
• 关键词: POWRE; Signal; Processing; Spontaneous; Arrhythmias

9973513SchuckersOne to two million adults are affected in the United States by heart failure with 200,000 deaths annually. 30-50% of these deaths are sudden and have been attributed to cardiac electrical abnormalities. Electrocardiology, the study of electrical characteristics of the heart, plays a major role in prediction and prevention of sudden cardiac death. Although much research has been performed to attempt to predict sudden cardiac death, no long-term studies have tracked the electrocardiographic progression from normal to diseased state. Furthermore, little work has been done to analyze the electrocardiogram (ECG) in the weeks, days, and hours before a spontaneous event in order to establish a short-term electrophysiologic predictor of sudden cardiac death. If a sudden death episode could be predicted, long- and short-term interventions could be attempted to prevent the event. The overall goal of this proposal is to develop and use an adriamycin rabbit model of heart failure to study the electrocardiographic progression from normal to a sudden death event. Animals will be outfitted with a long-term implanted ECG system. ECGs will be recorded continuously for the lifetime of the animal through radiofrequency-telemetry. Classical ECG features as well as innovative features will be calculated by computer and monitored over the lifetime of the animal where particular attention will be paid to changes preceding an event. The main goal of this work will be the development of a short-term prediction scheme which could predict an impending event such that in the clinical setting preventions/interventions, like electrical therapies may be performed.

9973513SCHUCKERONE对200万成年人的心力衰竭每年受到200,000人死亡的影响。 这些死亡中有30-50％是突然的，并且归因于心脏电气异常。 心电图研究的心脏电特征研究在预测和预防猝死中起着重要作用。 尽管已经进行了大量研究以预测心脏死亡，但没有长期的研究跟踪心电图从正常状态到患病状态的进展。 此外，在自发事件发生之前的几周，几天和几个小时内，几乎没有做任何工作来分析心电图（ECG），以建立猝死的短期电生理学预测指标。 如果可以预测突然的死亡事件，可以尝试进行长期和短期干预以防止事件。 该提案的总体目标是开发和使用心脏失效的阿霉素兔模型，以研究从正常到突然死亡事件的心电图进展。动物将配备长期植入的心电图系统。通过辐射频线指定，将在动物的寿命中连续记录ECG。 经典的心电图功能以及创新功能将由计算机计算，并在动物的一生中受到监控，在该动物的一生中，将特别注意事件之前的变化。这项工作的主要目标是发展短期预测方案，该方案可以预测即将来临的事件，以便在临床环境预防/干预措施（例如电气疗法）中进行。