STTR Phase I: Remote assessment of respiratory function in hospital patients based on speech acoustics (COVID-19)

STTR 第一阶段：基于语音声学对医院患者呼吸功能进行远程评估（COVID-19）

• 批准号: 2030326
• 负责人: Shira Hahn
• 金额: $ 25.6万
• 依托单位: AURAL ANALYTICS, INC.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-06-15 至 2023-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2030326&HistoricalAwards=false
• 关键词: STTR; Phase; Remote; assessment; respiratory

The broader impact of this Small Business Technology Transfer (STTR) Phase I project is the development of new approaches for remote assessment of respiratory function during pandemics. Current pulmonary assessment methods require in-clinic visits and they induce coughing and droplet formation, thereby increasing the risk of disease spread. To reduce transmission risk these assessments have been limited to only those required for immediate treatment. The algorithms developed in this project will allow doctors to remotely monitor patients’ respiratory function via speech provided by patients using their own personal mobile devices. The broader impact is amplified when the developed algorithms are integrated into telemedicine platforms. The infrastructure and algorithms to be developed in this project will enable new remote monitoring paradigms that remove geographic and cost barriers and broaden participation in healthcare, with the potential to relieve the magnitude of health disparities for persons with respiratory conditions. This Small Business Technology Transfer (STTR) Phase I project will develop and demonstrate a novel approach for remote assessment of respiratory function. The critical technical innovation is the development of a panel of acoustic-based measures that index respiratory function and can be collected remotely from a patient’s personal mobile device without the need for additional hardware. For the purpose of the COVID-19 use case, a mobile application on the patient’s mobile device will guide the patient through a series of speech elicitation tasks, returning a context-specific assessment of respiration to the healthcare provider. The algorithms will be integrated within an existing API and be available to strategic partners.This 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.

这种小型企业技术转移（STTR）I期项目的更广泛影响是开发新方法，以远程评估大流行时的呼吸功能。当前的肺部评估方法需要临床访问，它们会引起咳嗽和液滴的形成，从而增加了疾病扩散的风险。为了降低传输风险，这些评估仅限于立即治疗所需的评估。该项目中开发的算法将使医生能够通过使用自己的个人移动设备提供的患者提供的语音来远程监测患者的呼吸功能。当开发的算法集成到远程医疗平台中时，更广泛的影响是放大器。该项目中要开发的基础设施和算法将使新的远程监视范式消除地理和成本障碍并扩大对医疗保健的参与，并有可能挽救患有呼吸系统疾病患者的健康差异。这个小型企业技术转移（STTR）I阶段项目将开发并展示一种新颖的方法，用于远程评估呼吸功能。关键的技术创新是开发一系列基于声学的措施，该措施索引呼吸功能，可以从患者的个人移动设备中进行远程收集，而无需其他硬件。出于COVID-19用例的目的，患者移动设备上的移动应用程序将指导患者执行一系列语音启发任务，并将特定于上下文的呼吸评估返回给医疗保健提供者。该算法将集成到现有的API中，并可用于战略合作伙伴。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响标准，认为通过评估被认为是宝贵的支持。