CSR: Small: Transforming Mobile Devices into Active Sonar Systems for Medical Applications

CSR：小：将移动设备转变为医疗应用的主动声纳系统

• 批准号: 1812559
• 负责人: Shyamnath Gollakota
• 金额: $ 50万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-08-01 至 2021-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1812559&HistoricalAwards=false
• 关键词: CSR; Small; Transforming; Mobile; Devices

The project converts mobile systems including smartphones into active sonar systems by leveraging the speakers and microphones commonly available on existing mobile devices. Using this approach, the system addresses long-standing and increasingly urgent problems in two key healthcare domains: pharmacologically-induced apnea diagnosis and assistive interfaces for patients with muscular disorders. Unlike medical ultrasound devices that operate in the megahertz frequencies, microphones and speakers on smartphones are designed for much lower frequencies. The project answers fundamental questions about the feasibility of using active sonar on smartphones to address medical applications. It will produce algorithms that track breathing signals, required for pharmacologically-induced apnea detection, even in the presence of movements from other parts of the body. Finally, the project will result in algorithms that achieve tracking of the tongue motion from outside the mouth using the reflections from the acoustic signals as processed by the smartphone. Medical conditions that result in fatal apnea events have increasingly become a public health emergency. The project, if successful, would achieve a mobile system that can detect these events, thus providing an opportunity to potentially saving numerous lives. The second part of the project will create a tongue-based interaction toolkit that would help hundreds of thousands of patients with muscular disabilities to interact with existing mobile devices, using only a software app - a capability that currently does not exist. The resulting prototypes will be showcased at DawgBytes Summer Camps and University of Washington Women's Initiative. The results of the project will be added to the project webpage. The data will be stripped of any private information and will be added to the project webpage. The resulting breathing signals and the benchmarks data from our deployments will be added to the webpage for independent analysis. The project webpage is at the following link: http://apnea.cs.washington.eduThis award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目利用现有移动设备上常见的扬声器和麦克风，将包括智能手机在内的移动系统转换为主动声纳系统。使用这一方法，该系统解决了两个关键医疗领域的长期和日益紧迫的问题：药物诱导的呼吸暂停诊断和肌肉疾病患者的辅助接口。与工作在兆赫频率下的医用超声设备不同，智能手机上的麦克风和扬声器的设计频率要低得多。该项目回答了有关在智能手机上使用主动声纳解决医疗应用的可行性的基本问题。它将产生跟踪呼吸信号的算法，这是检测药物引起的呼吸暂停所必需的，即使在身体其他部位出现运动的情况下也是如此。最后，该项目将产生算法，利用智能手机处理的声音信号的反射，实现从嘴外跟踪舌头运动。导致致命呼吸暂停事件的医疗条件已日益成为一种公共卫生紧急情况。如果该项目成功，将实现一种可以检测这些事件的移动系统，从而提供一个潜在地拯救无数生命的机会。该项目的第二部分将创建一个基于舌头的互动工具包，该工具包将帮助数十万肌肉残疾患者仅使用一个软件应用程序与现有的移动设备进行互动--这是目前尚不存在的功能。最终的原型将在DawgBytes夏令营和华盛顿大学妇女倡议中展示。项目成果将被添加到项目网页。这些数据将被剥离任何私人信息，并将被添加到项目网页。我们部署的呼吸信号和基准数据将被添加到网页上进行独立分析。该项目的网页链接如下：http://apnea.cs.washington.eduThis奖反映了国家科学基金会的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Detecting middle ear fluid using smartphones

• DOI: 10.1126/scitranslmed.aav1102
• 发表时间: 2019-05-15
• 期刊: SCIENCE TRANSLATIONAL MEDICINE
• 影响因子: 17.1
• 作者: Chan, Justin;Raju, Sharat;Gollakota, Shyamnath
• 通讯作者: Gollakota, Shyamnath

Contactless cardiac arrest detection using smart devices

• DOI: 10.1038/s41746-019-0128-7
• 发表时间: 2019-06-19
• 期刊: NPJ DIGITAL MEDICINE
• 影响因子: 15.2
• 作者: Chan, Justin;Rea, Thomas;Sunshine, Jacob E.
• 通讯作者: Sunshine, Jacob E.

Opioid overdose detection using smartphones

• DOI: 10.1126/scitranslmed.aau8914
• 发表时间: 2019-01-09
• 期刊: SCIENCE TRANSLATIONAL MEDICINE
• 影响因子: 17.1
• 作者: Nandakumar, Rajalakshmi;Gollakota, Shyamnath;Sunshine, Jacob E.
• 通讯作者: Sunshine, Jacob E.