Image Guided Therapy Center - Ultrasound-based sensor system for the monitoring of COVID-19 patients

图像引导治疗中心 - 用于监测 COVID-19 患者的超声波传感器系统

基本信息

批准号：
10224566
负责人：
CLARE M TEMPANY
金额：
$ 36万
依托单位：
BRIGHAM AND WOMEN'S HOSPITAL
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-12-15 至 2021-12-14
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10224566
关键词：
3D Print Abdomen Adhesives Advisory Committees Affect Age Air Algorithmic Software Algorithms Bandage Biomechanics Blood Brain imaging Breathing COVID-19 COVID-19 monitoring COVID-19 patient Caliber Chest Collaborations Complement Computer software Data Decision Making Development Devices Diagnostic Procedure Diagnostic tests Disease Disinfection Elasticity Exhalation Family member Funding Gender Hand Health Height Home Hospitalization Infection Intensive Care Units Lead Letters Life Location Lung Lung Capacity Lung diseases Magnetic Resonance Imaging Measurement Measures Medical Monitor Motion Oxygen Oxyhemoglobin Parents Patient Monitoring Patients Persons Physiologic Monitoring Physiologic pulse Play Positron-Emission Tomography Published Comment Reading Recovery Respiratory System Robin bird Role Savings Services Severity of illness Shapes Signal Transduction Skin Specific qualifier value System Temperature Thermometers Time Tissues Transducers Ultrasonography Wireless Technology base capsule cloud based cloud platform commercialization deoxyhemoglobin healthy volunteer home test image guided therapy imaging capabilities improved meetings monitoring device motion sensor parent grant point of care prototype pulmonary function remote monitoring remote sensor sensor software systems tool

项目摘要

Project summary There are currently ~1.8 million active cases of COVID-19 in the US. Most of these patients are recovering at home, creating immense needs for remote monitoring. The main tools currently available for the task are thermometers, pulse oximeters and spirometers, to monitor temperature, blood oxygen level and lung capacity, respectively. We developed an ultrasound-based sensor system that captures in rich manner the way in which people breathe, and we believe that such biomechanical information can be an important complement to other, currently available tools. The proposed project involves modifying the hardware and software of our current sensor system to make it compatible with home-based monitoring, more specifically by making it smaller, wireless, cloud-based and inexpensive. Pulse oximeters and spirometers are closely related to the proposed sensor system in that they offer a measure of lung health. Spirometers provide a single measurement for the entire respiratory system, i.e., the volume of air exhaled. Because it is a device that one blows air into, it readily becomes contaminated when used by COVID-19 patients. Pulse oximeters are very helpful in the sense that they measure a parameter at the core of lung function, i.e., the ability to convert deoxyhemoglobins into oxyhemoglobins. For spirometers and pulse oximeters, normal or highly abnormal readings fulfill the purpose of a home-based monitoring device in the sense that they lead to clear decision making when the options are primarily ‘remaining at home’ vs. ‘hospital admission’. Intermediate readings, however, can be more difficult to interpret. Especially as treatment options continue to increase and diversify, more data will be needed to inform decisions, and biomechanical information as provided by our sensors is expected to be a valuable addition. By better informing decisions on patient management, it is easy to appreciate how the proposed sensor system might very well have life-saving effects in given patients. We propose to develop a rapid home-based testing/diagnostics device, in the form of wearable remote sensors for physiological monitoring. Our ultrasound-based sensors monitor tissue velocity and displacement at various tissue depths, at up to four separate locations on the torso, and as such richly captures the biomechanical motion associated with breathing. The proposed project involves converting our current PC-sized system into a smaller, wireless, cloud-based and inexpensive system compatible with home-based monitoring, and to develop algorithms specific to COVID-19 patients to better convert the rich motion information the sensors provide into an assessment of one’s state of recovery from the disease. Preliminary results suggest feasibility within one year, and a path to commercialization is presented in the proposal.

项目摘要目前，美国有约180万例Covid-19的活跃病例。这些患者大多数正在康复家，为远程监控创造了巨大的需求。当前可用于该任务的主要工具是温度计，脉搏氧气和肺活量计，以监测温度，血氧水平和肺容量，分别。我们开发了一个基于超声的传感器系统，该系统以丰富的方式捕获人们呼吸，我们认为这种生物力学信息可能是对他人的重要补充当前可用的工具。拟议的项目涉及修改当前的硬件和软件传感器系统使其与基于家庭的监视兼容，更具体地是通过使其更小，无线，基于云和便宜。脉搏氧合和肺活量计与提出的传感器系统密切相关，因为它们提供了肺部健康的度量。肺活量计为整个呼吸系统提供了一个测量，即空气耗尽。因为这是一种使空气吹入的设备，所以当 Covid-19患者使用。脉搏氧合因它们测量参数的意义非常有帮助肺功能的核心，即将脱氧血红蛋白转化为氧蛋白的能力。用于肺活量计和脉搏氧合，正常或高度异常的读数实现了家庭监测装置的目的从某种意义上说，当选项是主要的“留在家中”与。 “医院入院”。但是，中间读数可能更难解释。特别是作为治疗期权继续增加和多样化，需要更多数据来为决策提供信息，并需要生物力学我们的传感器提供的信息预计将是一个有价值的补充。通过更好地告知有关的决定患者管理，很容易理解拟议的传感器系统如何挽救生命给定患者的影响。我们建议以可穿戴遥感器的形式开发一种基于家庭的快速测试/诊断设备用于物理监测。我们的超声传感器监视了各种的组织速度和位移组织深度，在躯干上最多四个独立的位置，因此捕获了生物力学与呼吸相关的运动。拟议的项目涉及将我们当前的PC大型系统转换为较小，无线，基于云和廉价的系统与基于家庭的监视兼容，并且开发特定于Covid-19患者的算法，以更好地转换传感器的丰富运动信息评估一个人从疾病中恢复状态的评估。初步结果表明可行性一年之内，该提案中提出了商业化的途径。

项目成果

期刊论文数量（73）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（2）

Vaginal recurrence of endometrial cancer: MRI characteristics and correlation with patient outcome after salvage radiation therapy.

DOI：
10.1007/s00261-020-02453-2
发表时间：
2020-04
期刊：
Abdominal radiology (New York)
影响因子：
0
作者：
Steiner A;Alban G;Cheng T;Kapur T;Bay C;McLaughlin PY;King M;Tempany C;Lee LJ
通讯作者：
Lee LJ

Continuous Rapid Quantification of Stroke Volume Using Magnetohydrodynamic Voltages in 3T Magnetic Resonance Imaging.