Development of a Pre-Hospital Ultra-Wide Band Radar Cardiac Function Monitor

描述(由申请人提供)：心脏骤停是美国主要的死亡原因。尽管教授复苏技术和开发院前系统以快速提供院前医疗护理已有40年，但死亡率仍然很高。最近人们认识到，在复苏过程中相对较短的时间内不进行胸部按压可能是导致高死亡率的一个重要原因。复苏指南要求医护人员在进行心肺复苏时停止胸部按压，以确定颈动脉脉搏的存在或不存在，但执行脉搏检查非常耗时，结果往往不正确。LifeWave已经开发出一种能够检测心脏运动的超宽带雷达传感器。我们建议开发软件算法，使该设备能够快速确定患者的心脏运动是否与可触摸到的颈动脉脉搏一致。这项第一阶段赠款申请有两个具体目标：1)开发一种算法，该算法使用LifeWave的超宽带雷达信号来区分机械心脏运动的存在和不存在，相当于可触摸到的颈动脉脉搏的存在或不存在。我们将使用雷达传感器记录一系列动物的心率和心脏收缩能力水平。我们将使用信号处理和统计技术来开发一种算法，以确定存在的心脏运动量是否与可触摸到的颈动脉脉搏(收缩压&60毫米汞柱)的存在一致。我们假设，我们将能够从5秒的记录数据中区分颈动脉脉搏的存在和不存在，灵敏度为95%，特异度为70%。2)表明LifeWave医学雷达和针对特定目标1开发的信号处理算法的结合可以确定在心脏骤停动物模型复苏过程中与可触及的颈动脉脉搏的存在或不存在相关的机械心脏运动。我们假设，通过使用在特定目标1中开发的算法，我们将能够从5秒的数据记录中区分可触摸到的颈动脉脉冲的存在和不存在，灵敏度为95%，特异度为70%。这两个具体目标的实现将显示我们的超宽带雷达设备在心脏骤停复苏期间检测心脏运动的能力，并为第二阶段的应用和独立雷达监测器的开发做好准备。在美国，心脏骤停是主要的死亡原因。尽管教授复苏技术和开发院前系统以快速提供院前医疗护理已有40年，但死亡率仍然很高。我们建议开发一种基于雷达的脉搏检测设备，它将减少复苏期间执行脉搏检查所花费的时间，而不是执行胸部按压。我们希望这种装置将提高心脏骤停后的存活率。

DESCRIPTION (provided by applicant): Cardiac arrest is a leading cause of death in the United States. Despite 40 years of teaching resuscitation techniques and pre-hospital system development to provide pre-hospital medical care rapidly, mortality remains high. It has recently been recognized that not performing chest compressions for relatively short periods of time during resuscitation may be responsible for a significant percentage of the high mortality. Resuscitation guidelines call for the stopping of chest compressions for the determination of the presence or absence of a carotid pulse by healthcare personnel when performing cardiopulmonary resuscitation, yet performance of pulse checks is time consuming and the results are often incorrect. LifeWave has developed an ultra-wideband radar sensor capable of detecting cardiac motion. We propose to develop the software algorithms that will allow this device to quickly determine whether or not a patient's cardiac motion is consistent with a palpable carotid pulse. This Phase 1 grant application has 2 specific aims: 1) Develop an algorithm that uses LifeWave's ultra-wideband radar signal to differentiate between the presence and absence of mechanical heart motion equivalent to the presence or absence of a palpable carotid pulse. We will use the radar sensor to record from animals with a range of heart rates and levels of cardiac contractility. We will use signal processing and statistical techniques to develop an algorithm that identifies whether or not the amount of cardiac motion present is consistent with the presence of a palpable carotid pulse (systolic blood pressure > 60 mmHg). We hypothesize that we will be able to differentiate between the presence and absence of a carotid pulse with 95% sensitivity and 70% specificity from 5 seconds of recorded data. 2) Show that the combination of the LifeWave medical radar and the signal processing algorithm developed in specific aim 1 can determine the mechanical heart motion associated with the presence or absence of a palpable carotid pulse during resuscitation of an animal model of sudden cardiac arrest. We hypothesize that by using the algorithm developed in specific aim 1, we will be able to differentiate between the presence and absence of a palpable carotid pulse with 95% sensitivity and 70% specificity from 5 seconds of data recording. Accomplishment of these two specific aims will show the ability of our ultra-wideband radar device to detect cardiac motion during resuscitation from cardiac arrest and prepare us for a phase II application and the development of a stand-alone radar monitor. Cardiac arrest is a leading cause of death in the United States. Despite 40 years of teaching resuscitation techniques and pre-hospital system development to provide pre-hospital medical care rapidly, mortality remains high. We propose to develop a radar-based pulse detection device that will decrease the amount of time spent performing pulse checks during resuscitation and not spent performing chest compressions. We hope that this device will improve survival following cardiac arrest.