MEMS Sensors for Arrhythmia Detection and Interventions

用于心律失常检测和干预的 MEMS 传感器

基本信息

批准号：
7487308
负责人：
Robert F Gilmour
金额：
$ 50.16万
依托单位：
CORNELL UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2004
资助国家：
美国
起止时间：
2004-09-15 至 2011-08-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7487308
关键词：
3-Dimensional Action Potentials Address Algorithms Area Arrhythmia Canis familiaris Cardiac Cardiology Cells Clinical Complex Computer Simulation Coupled Data Data Set Detection Developed Countries Developing Countries Development Device or Instrument Development Electrical Engineering Electrodes Electronics Electrophysiology (science)Endocardium Epicardium Experimental Models Family suidae Fourier Transform Heart Heart Atrium In Situ In Vitro Intervention Investigation Lead Left ventricular structure Length Location Maps Measurement Mechanics Modeling Monitor Mothers Motion Myocardium Needles Numbers Patients Penetration Phase Physiologic pulse Positioning Attribute Pulse taking Research Personnel Resolution Risk Secondary to Silicon Simulate Sinus Staging Stimulus Structure Sudden Death Surface Sus scrofa System Tachyarrhythmias Tactile Techniques Technology Telemetry Testing Time Tissues Ultrasonics Ventricular Ventricular Fibrillation Ventricular Tachycardia base data acquisition density design experience heart electrical activity heart rhythm mortality nanofabrication novel prevent programs research study scale up sensor theories two-dimensional vector

项目摘要

DESCRIPTION (provided by applicant): Despite decades of intensive investigation, sudden death secondary to ventricular fibrillation (VF) remains a leading cause of mortality in the US and other developed countries. Recently, several promising hypotheses regarding the mechanism for VF have been introduced. However, it has not been possible using currently available experimental techniques to determine which theory (or theories) is most applicable to VF. To address this issue, we propose to: 1) construct a cardiac mapping system from nanofabricated components that is capable of assessing cardiac activation and repolarization with high spatial and temporal resolution and with minimal tissue damage; 2) use a novel phase mapping technique to analyze the mapping data, with the objective of identifying the location and number of phase singularities during sinus rhythm, ventricular tachycardia and VF; 3) use the phase singularity data to distinguish between three putative mechanisms for VF - an anchored rotor with fibrillatory conduction, a meandering rotor or multiple rotors. MEMs technology will be used to construct microscale mechanical needle-like structures with integrated electrodes that are ultrasonically activated, to minimize tissue damage during insertion. The electrode arrays will be used to map activation and repolarization in canine ventricular myocardium in vitro and in normal and acutely ischemic pig hearts in situ during fixed pacing and during VF. The mapping data will be analyzed using a fast Fourier-demodulation technique to identify singularities and wave vectors during VF. Computer models of 2- and 3-D myocardium also will be used to generate surrogate data sets for testing the analysis algorithms. The results of this study will lead to significant advances in three key areas: development of devices to map cardiac electrical activity with unprecedented spatial resolution; application of newer and more sophisticated techniques to analyze large mapping data sets; interpretation of high resolution mapping data within the context of novel hypotheses regarding the genesis of ventricular tachycardia and fibrillation. Taken together, these advances in data acquisition, analysis and interpretation are expected to lead to new and more effective means of identifying and treating patients at risk for the development of lethal ventricular tachyarrhythmias.

描述（由申请人提供）：尽管进行了数十年的密集调查，但继发于心室纤维化（VF）的猝死仍然是美国和其他发达国家死亡的主要原因。最近，已经引入了有关VF机制的一些有希望的假设。但是，使用当前可用的实验技术来确定最适用于VF的理论（或理论）是不可能的。为了解决这个问题，我们建议：1）从纳米制动成分中构建一个心脏映射系统，该系统能够以高空间和时间分辨率以及最小的组织损伤评估心脏激活和复极化； 2）使用一种新型的相位映射技术来分析映射数据，目的是识别窦性心律，心室心动过速和VF期间相位奇点的位置和数量； 3）使用相奇异数据来区分VF的三种假定机制 - 带有纤颤传导的锚固转子，蜿蜒的转子或多个转子。 MEMS技术将用于构建具有超声激活的集成电极的微观机械针状结构，以最大程度地减少插入过程中的组织损伤。电极阵列将用于在固定起搏和VF期间，在体外以及正常和急性缺血性的猪心中绘制激活和复极化。将使用快速的傅立叶测量技术对映射数据进行分析，以识别VF期间的奇异性和波向量。 2和3-D心肌的计算机模型也将用于生成用于测试分析算法的替代数据集。这项研究的结果将导致三个关键领域的重大进展：开发以前所未有的空间分辨率绘制心脏电活动的设备；应用更新，更复杂的技术来分析大型映射数据集；在新的假设中有关心室心动过速和纤颤的起源的新假设中的高分辨率映射数据的解释。综上所述，这些数据获取，分析和解释方面的进步有望导致新的，更有效的方法来识别和治疗有致命性心室心律失常的风险的患者。