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

描述（由申请人提供）：心脏骤停是美国的主要死亡原因。尽管有40年的复苏技术教学和院前系统的发展，以提供院前医疗护理迅速，死亡率仍然很高。最近已经认识到，在复苏期间相对较短的时间内不进行胸外按压可能是造成高死亡率的重要原因。心肺复苏指南要求医护人员在实施心肺复苏时停止胸外按压，以确定颈动脉脉搏的存在与否，然而脉搏检查的执行是耗时的，结果往往是不正确的。LifeWave公司开发了一种超宽带雷达传感器，能够探测心脏运动。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及的颈动脉脉冲一致。第一阶段的资助申请有两个具体目标：1)开发一种算法，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，相当于存在或不存在可感知的颈动脉脉冲。我们将使用雷达传感器来记录动物的心率和心脏收缩能力。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及的颈动脉脉冲（收缩压bbb60 mmHg）的存在一致。我们假设我们能够从5秒的记录数据中以95%的灵敏度和70%的特异性区分颈动脉脉冲的存在和不存在。2)表明结合LifeWave医学雷达和特定目标1中开发的信号处理算法可以确定心脏骤停动物模型复苏过程中与颈动脉脉搏有无相关的机械心脏运动。我们假设，通过使用特定目标1中开发的算法，我们将能够在5秒的数据记录中以95%的灵敏度和70%的特异性区分是否存在可触及的颈动脉脉冲。这两个特定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，并为我们的第二阶段应用和独立雷达监视器的开发做好准备。心脏骤停是美国的主要死亡原因。尽管有40年的复苏技术教学和院前系统的发展，以提供院前医疗护理迅速，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，以减少在复苏期间进行脉搏检查所花费的时间，而不是进行胸外按压。我们希望这个装置能提高心脏骤停后的生存率。

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.