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

该项目通过利用现有移动的设备上常用的扬声器和麦克风，将包括智能手机在内的移动的系统转换为主动声纳系统。使用这种方法，该系统解决了两个关键医疗领域长期存在且日益紧迫的问题：药理学诱导的呼吸暂停诊断和肌肉疾病患者的辅助界面。与在兆赫频率下工作的医疗超声设备不同，智能手机上的麦克风和扬声器是为低得多的频率设计的。该项目回答了关于在智能手机上使用主动声纳来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，这是药理学诱导的呼吸暂停检测所需的，即使存在身体其他部位的运动。最后，该项目将产生算法，使用智能手机处理的声学信号的反射来实现从口腔外部跟踪舌头运动。 导致致命性呼吸暂停事件的医疗条件已日益成为公共卫生紧急情况。该项目如果成功，将实现一个可以检测这些事件的移动的系统，从而提供一个可能挽救许多生命的机会。该项目的第二部分将创建一个基于舌头的交互工具包，帮助数十万肌肉残疾患者仅使用软件应用程序与现有的移动的设备进行交互-这是目前不存在的功能。由此产生的原型将在道格威夏令营和华盛顿大学妇女倡议中展示。 该项目的结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。由此产生的呼吸信号和我们部署的基准数据将添加到网页中进行独立分析。该项目的网页是在以下链接：www.example.com奖反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。

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.