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

• 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
• 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

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.

项目概要 目前美国约有 180 万例活跃的 COVID-19 病例，其中大多数患者正在康复中。 家庭，对远程监控产生了巨大的需求，目前可用于该任务的主要工具是 温度计、脉搏血氧计和肺活量计，用于监测温度、血氧水平和肺活量， 我们分别开发了一种基于超声波的传感器系统，可以以丰富的方式捕获这些信息。 人们呼吸，我们相信此类生物力学信息可以成为其他信息的重要补充， 拟议的项目涉及修改我们当前可用的硬件和软件。 传感器系统，使其与家庭监控兼容，更具体地说，通过使其更小， 无线、基于云且价格低廉。 脉搏血氧计和肺活量计与所提出的传感器系统密切相关，因为它们提供了 肺活量计为整个呼吸系统提供单一测量，即肺健康。 由于它是一种吹入空气的装置，因此很容易被污染。 COVID-19 患者使用的脉搏血氧计非常有用，因为它们可以测量参数。 肺功能的核心，即将脱氧血红蛋白转化为氧合血红蛋白的能力。 和脉搏血氧计，正常或高度异常的读数满足家庭监测设备的目的 从某种意义上说，当选择主要是“留在家里”与“留在家里”时，它们会导致做出明确的决策。 然而，“入院”的读数可能更难以解释，尤其是作为治疗。 选择不断增加和多样化，需要更多数据来为决策提供信息，并且生物力学 我们的传感器提供的信息有望成为有价值的补充，更好地为决策​​提供信息。 患者管理，很容易理解所提出的传感器系统如何能够很好地挽救生命 对特定患者的影响。 我们建议以可穿戴远程传感器的形式开发一种快速的家庭测试/诊断设备 我们的基于超声波的传感器可监测不同条件下的组织速度和位移。 组织深度，在躯干上多达四个不同的位置，因此丰富地捕捉了生物力学 拟议的项目涉及将我们当前的 PC 大小的系统转换为与呼吸相关的运动。 更小的、无线的、基于云的且廉价的系统，与家庭监控兼容，并且 开发针对 COVID-19 患者的算法，以更好地将丰富的运动信息转换为传感器 初步结果表明了可行性。 一年内，提案中提出了商业化路径。

项目成果

Comparison of three artificial models of the magnetohydrodynamic effect on the electrocardiogram.

磁流体动力学对心电图影响的三种人工模型的比较。

• 发表时间: 2015
• 影响因子: 1.6
• 作者: Oster, Julien;Llinares, Raul;Payne, Stephen;Tse, Zion Tsz Ho;Schmidt, Ehud Jeruham;Clifford, Gari D
• 通讯作者: Clifford, Gari D

An ITK implementation of a physics-based non-rigid registration method for brain deformation in image-guided neurosurgery.

基于物理的非刚性配准方法的 ITK 实现，用于图像引导神经外科手术中的脑变形。

• 发表时间: 2014
• 作者: Liu, Yixun;Kot, Andriy;Drakopoulos, Fotis;Yao, Chengjun;Fedorov, Andriy;Enquobahrie, Andinet;Clatz, Olivier;Chrisochoides, Nikos P
• 通讯作者: Chrisochoides, Nikos P

Magnetic Resonance Imaging-Guided Spine Interventions.

磁共振成像引导的脊柱干预。

• 发表时间: 2015-11
• 作者: Himes, Nathan C;Chansakul, Thanissara;Lee, Thomas C
• 通讯作者: Lee, Thomas C

Incremental value of contrast enhanced computed tomography on diagnostic accuracy in evaluation of small pulmonary ground glass nodules.

对比增强计算机断层扫描对评估肺部小毛玻璃结节诊断准确性的增量价值。

• 发表时间: 2015-09
• 作者: Li, Ming;Gao, Feng;Jagadeesan, Jayender;Gill, Ritu R;Hua, Yanqing;Zheng, Xiangpeng
• 通讯作者: Zheng, Xiangpeng

Peak learning of mass spectrometry imaging data using artificial neural networks.

使用人工神经网络对质谱成像数据进行峰值学习。

• 发表时间: 2021-09-20
• 影响因子: 16.6
• 作者: Abdelmoula, Walid M;Lopez, Begona Gimenez;Randall, Elizabeth C;Kapur, Tina;Sarkaria, Jann N;White, Forest M;Agar, Jeffrey N;Wells, William M;Agar, Nathalie Y R
• 通讯作者: Agar, Nathalie Y R