Lightweight optoimpedance sensors enabling early detection of the physiological response to injury and illness

轻型光阻抗传感器能够及早检测对伤害和疾病的生理反应

基本信息

批准号：
9909081
负责人：
Ryan Joseph Halter
金额：
$ 15.53万
依托单位：
MULTIVARIATE SYSTEMS, INC.
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-09-25 至 2024-01-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9909081
关键词：
Address Adhesives Algorithms Animals Back Benchmarking Cardiovascular Physiology Caring Characteristics Classification Clinical Clinical Trials Complex Computer Simulation Computer software Conscious Critical Care Data Data Set Detection Deterioration Development Devices Diagnosis Dimensions Disasters Disease Early Diagnosis Electrolyte Balance Event Faculty Failure Family suidae Fiber Optics Funding General anesthetic drugs Goals Hemorrhage Human Hydration status Individual Injury Intensive Care Learning Life Location Measurement Medical Medical Device Metabolism Military Personnel Modality Modeling Monitor Muscle Noise Operative Surgical Procedures Optics Outcome Patients Phase Physiological Positioning Attribute Postoperative Care Protocols documentation Resolution Risk Sampling Secure Shock Signal Transduction Small Business Technology Transfer Research Specialist Spectrum Analysis Statistical Algorithm Stream System Technology Testing Time Tissues Trauma Triage Trust Validation Vertebrates analog base clinical development clinically relevant college cost deep learning design effective intervention electric impedance electrical property hemodynamics instrument light weight mass casualty member miniaturize mobile application optical sensor optimal treatments outcome forecast performance tests portability prediction algorithm predictive tools preservation programs response response to injury sensor sensor technology tissue oxygenation wearable device

项目摘要

Abstract Early detection of ongoing hemorrhage (OH) before onset of shock is a universally acknowledged great unmet need, and particularly important after trauma. Delays in the detection of OH are associated with a “failure to rescue” and a dramatic deterioration in prognosis once the onset of clinically frank shock has occurred. While uniplex noninvasive technologies have failed to detect or diagnose complex disease states, we have demonstrated the superiority of multiplex approaches in silico. The goal of this STTR project is to develop a commercially viable optoimpedance sensor-based system that combines state-of-the-art noninvasive sensing technologies and advanced multivariable statistical algorithms. Phase I will involve three Aims: 1) Design, Fabricate and Test Opto-Impedance oPiic sensors, 2) Develop of Mobile App, Data and ML Pipeline on Secure Cloud, and 3) Evaluate oPiics on an Unanesthetized Upright Porcine Hemorrhage Model. By derisking the hardware challenges, we will be well-positioned for a Phase II application to optimize oPiic design and manufacturing, fold-in predictive algorithms under current development with DOD support, and validate with a clinical trial in critical care setting.

抽象的冲击发作之前，早期发现正在进行的出血（OH）是普遍公认的巨大未满足的需求，创伤后尤其重要。检测到OH的延迟与“未能营救”和一旦发生了临床上坦率的冲击，预后的戏剧性检测就发生了。同时无创技术未能检测或诊断复杂疾病状态，我们已经证明了硅中的多重方法。该STTR项目的目的是开发商业上可行的光疗法基于传感器的系统，结合了最先进的非侵入性传感技术和高级多变量统计算法。第一阶段将涉及三个目的：1）设计，制造和测试光阻抗opiic 传感器，2）在安全云上开发移动应用程序，数据和ML管道，以及3）评估Opiics 未经麻醉的直立猪出血模型。通过挑战硬件挑战，我们将良好的II期应用程序，以优化奥普设计和制造，折叠预测在当前开发的算法并在DOD支持下进行，并在重症监护环境中对临床试验进行了验证。