Continuous Monitoring of COVID-19 Symptomatology for Elderly Patients in Long Term Care Facilities Using Advanced, Soft, and Flexible Sensors Mounted on the Suprasternal Notch

使用安装在胸骨上切迹上的先进、柔软且灵活的传感器连续监测长期护理机构中老年患者的 COVID-19 症状

• 批准号: 10167884
• 负责人: Shuai Xu
• 金额: $ 24.93万
• 依托单位: SONICA, LLC
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-30 至 2021-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10167884
• 关键词: Accelerometer; Adherence; Age; Algorithms; Alzheimer' s Disease; American; Apple watch; Authorization documentation; Biological Markers; Biomedical Engineering; Bluetooth; COVID-19; COVID-19 pandemic; Caring; Cessation of life; Chronic; Classification; Clinical; Clinical Research; Communication; Computer software; Consent; Coughing; Coupled; Custom; Data; Data Storage and Retrieval; Deglutition; Deglutition Disorders; Dementia; Dermatology; Detection; Development; Devices; Disease Progression; Elderly; Electronics; Emergency Situation; Engineering; Ensure; Exanthema; Fever; Focus Groups; Frequencies; Future; Gerontology; Goals; Gold; Health Insurance Portability and Accountability Act; Health Personnel; Health care facility; Heart Rate; Hour; Infection; Location; Long-Term Care; Machine Learning; Measures; Mechanics; Medical; Molecular; Monitor; Motion; Nature; Nursing Homes; Operating System; Patients; Phase; Physical activity; Physicians; Physiological; Population; Provider; Psychometrics; Public Health; Publications; Publishing; Quarantine; Readiness; Recovery; Reporting; Respiratory Signs and Symptoms; Respiratory Sounds; Risk; Sensitivity and Specificity; Shortness of Breath; Signal Transduction; Skin; Small Business Technology Transfer Research; Smell Perception; Stream; Stretching; Surveys; Symptoms; System; Taste Perception; Techniques; Technology; Temperature; Testing; Time; Training; Validation; Wireless Technology; Wisconsin; arm; body position; dashboard; data quality; data streams; density; design; experience; fitbit; flexibility; improved; microphone; mobile application; mortality; next generation; notch protein; novel; older patient; operation; pandemic disease; programs; respiratory; sensor; success; symptomatology; terabyte; tool; usability; virtual; volunteer; wearable sensor technology

PROJECT SUMMARY: COVID-19 is significantly more lethal in the elderly1 with the greatest risk in those cared for in long-term care facilities (LTCs) where mortality rates range from 19% to 72% worldwide. Monitoring COVID-19 infections in LTCs remains a particular challenging. The existing and a continued expected shortage of sufficient molecular COVID-19 testing coupled to false negative rates as high as 15% necessitates a critical need for new and complementary technologies that can surveil, alert, and track COVID-19 infections in this population. Our group are pioneers in the development of novel soft electronics. Our recent publication, supported by our active Phase I STTR, was published in Nature Biomedical Engineering detailing a next generation ultra-low profile, soft, and flexible sensor (ADAM) that continuously measures subtle acousto- mechanic signals generated by the body via an embedded high-frequency, 3-axis accelerometer in direct mechanical communication with the skin. The ADAM sensor communicates via Bluetooth with our custom mobile application for real time streaming as well as on sensor data storage enabling stand-alone operation. All data streams are cloud synchronized (HIPAA compliant). The highly novel soft, flexible nature allows for the ADAM sensor to be mountable on unusual locations of high information density. Specifically, we exploit the SN—the only location on the body where there is no dampening effect at the skin level with the intrathoracic cavity. This enables a SN- mounted ADAM sensor to capture heart rate (HR), respiratory rate (RR), temperature, physical activity (PA), swallow count, and talk time, along with additional novel respiratory biomarkers relevant to COVID-19. In this proposal, we propose to develop a new COVID-19 software package, machine learning enhancements to our cough algorithm, and validation in LTCs with both elderly patients and staff to evaluate usability, feasibility, and adherence. The high level of technology readiness with partner LTCs allows us to deploy efficiently to generate essential data for a future FDA Emergency Use Authorization. Our team of experts in engineering, dermatology, gerontology, and machine learning are highly qualified to develop this COVID-19 surveillance system that offers both commercial and clinical value with broad applicability to a wide range of other respiratory and chronic medical conditions after the pandemic subsides.

项目摘要：COVID-19 对老年人1 的致命性明显更高 那些在长期护理机构 (LTC) 中接受护理的人面临的最大风险是死亡率 全球范围内 19% 至 72% 的长期护理中心 (LTC) 感染监测仍然是一个重点。 现有的和预期的持续短缺尤其具有挑战性。 分子 COVID-19 检测加上假阴性率高达 15%，因此需要进行 迫切需要能够监视、警报和跟踪的新型补充技术 我们的团队是该人群中 COVID-19 感染的先驱。 我们最近的出版物，得到了我们活跃的第一阶段 STTR 的支持， 发表在《自然生物医学工程》上，详细介绍了下一代超低 轮廓，柔软，灵活的传感器（ADAM），连续测量微妙的声学 身体通过嵌入式高频 3 轴产生机械信号 与皮肤直接机械通信的加速度计。 通过蓝牙与我们的定制移动应用程序进行通信，以实现实时流媒体传输 以及传感器数据存储，可实现所有数据流的独立操作。 云同步（符合 HIPAA 标准） 高度新颖的柔软、灵活的特性允许 ADAM 传感器可安装在高信息密度的不寻常位置。 具体来说，我们利用 SN——身体上唯一没有 胸腔内皮肤水平的阻尼效应这使得 SN- 成为可能。 安装 ADAM 传感器来采集心率 (HR)、呼吸频率 (RR)、温度、 体力活动 (PA)、吞咽次数、通话时间以及其他新颖的内容 在本提案中，我们建议开发一种与 COVID-19 相关的呼吸生物标志物。 新的 COVID-19 软件包，机器学习增强了我们的咳嗽能力 算法，并在 LTC 中对老年患者和工作人员进行验证以进行评估 与合作伙伴的高水平技术准备度。 LTC 使我们能够高效部署，为未来 FDA 生成重要数据 我们的工程、皮肤科专家团队， 老年学和机器学习非常有资格开发这种 COVID-19 具有广泛商业和临床价值的监测系统 适用于各种其他呼吸系统和慢性疾病的治疗后 疫情消退。

项目成果

Automated, multiparametric monitoring of respiratory biomarkers and vital signs in clinical and home settings for COVID-19 patients.

在临床和家庭环境中对 COVID-19 患者的呼吸生物标志物和生命体征进行自动多参数监测。

• 发表时间: 2021-05-11
• 影响因子: 11.1
• 作者: Ni, Xiaoyue;Ouyang, Wei;Jeong, Hyoyoung;Kim, Jin;Tzaveils, Andreas;Mirzazadeh, Ali;Wu, Changsheng;Lee, Jong Yoon;Keller, Matthew;Mummidisetty, Chaithanya K;Patel, Manish;Shawen, Nicholas;Huang, Joy;Chen, Hope;Ravi, Sowmya;Chang, Jan
• 通讯作者: Chang, Jan

Differential cardiopulmonary monitoring system for artifact-canceled physiological tracking of athletes, workers, and COVID-19 patients.

差分心肺监测系统，用于对运动员、工人和 COVID-19 患者进行伪影消除的生理跟踪。

• 发表时间: 2021
• 影响因子: 13.6
• 作者: Jeong, Hyoyoung;Lee, Jong Yoon;Lee, KunHyuck;Kang, Youn J;Kim, Jin;Avila, Raudel;Tzavelis, Andreas;Kim, Joohee;Ryu, Hanjun;Kwak, Sung Soo;Kim, Jong Uk;Banks, Aaron;Jang, Hokyung;Chang, Jan;Li, Shupeng;Mummidisetty, Chaithanya K;Par
• 通讯作者: Par

Mechano-acoustic sensing of physiological processes and body motions via a soft wireless device placed at the suprasternal notch.

通过放置在胸骨上切迹处的软无线设备对生理过程和身体运动进行机械声学传感。

• 发表时间: 2020
• 影响因子: 28.1
• 作者: Lee, KunHyuck;Ni, Xiaoyue;Lee, Jong Yoon;Arafa, Hany;Pe, David J;Xu, Shuai;Avila, Raudel;Irie, Masahiro;Lee, Joo Hee;Easterlin, Ryder L;Kim, Dong Hyun;Chung, Ha Uk;Olabisi, Omolara O;Getaneh, Selam;Chung, Esther;Hill, Marc;Bell, Jeremy;Ja
• 通讯作者: Ja