STTR Phase I: An augmentative tool to connect speech language pathologists with patients

STTR 第一阶段：连接言语病理学家与患者的增强工具

• 批准号: 1448184
• 负责人: Harry Schmitt
• 金额: $ 22.47万
• 依托单位: Aural Analytics
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-01-01 至 2016-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1448184&HistoricalAwards=false
• 关键词: STTR; Phase; augmentative; tool; connect

The broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase I project addresses the issue of communicative ability in individuals with neurogenic disorders. The inability to engage in spoken communication is among the most debilitating of all human conditions. Because treatment is behavioral and intensive, access to care and quality of care are significant issues. These are problems that disproportionately affect those in rural and underserved areas, leaving them with a persistent communication deficit. The clinical implications of the tools proposed here are considerable. The analytical approach summarized in this proposal should both improve the performance of individual speech and language pathologists while also enabling them to serve many more patients. Such a tool could be deployed to individuals with increased risk of Parkinson?s, Alzheimer?s, or other related neurological disorders that impact speech production.The proposed project addresses these issues through a tool that allows patients to remotely record speech and video samples and provides a variety of derived calculations, novel and traditional, to assess the integrity of speech. This approach provides access to expertise in rural areas with the goal of reducing health disparities in the field. The approach makes use of recent technical advances in the emerging field of personalized telemedicine, in conjunction with the increasingly widespread use of tablets in clinical practice, to remotely track abnormal speech production in at-risk individuals and augment human perceptual evaluation through modern data analytics. Realizing this vision requires the development of an advanced signal processing methodology and a suite of mobile applications that implements it in scalable fashion.

这种小型企业技术转移（STTR）项目的更广泛的影响/商业潜力解决了神经源性疾病患者的沟通能力问题。无法进行口头交流是所有人类条件中最令人衰弱的人之一。由于治疗是行为和密集的，因此获得护理和护理质量是重大问题。这些问题不成比例地影响农村和服务不足的地区，使他们持续存在沟通不足。这里提出的工具的临床意义是相当大的。本提案中总结的分析方法应提高个人语音和语言病理学家的表现，同时还可以使他们能够为更多的患者服务。这样的工具可以部署给具有帕金森氏症风险增加的人，阿尔茨海默氏症或其他相关的影响语音生产的神经系统疾病。拟议的项目通过一种工具来解决这些问题，该工具使患者允许患者记录语音和视频样本，并提供各种派生的计算，新颖和传统，以评估语音的完整性。这种方法可在农村地区获得专业知识，目的是减少该领域的健康差异。该方法利用了个性化远程医疗新兴领域的最新技术进步，结合临床实践中对平板电脑的越来越广泛使用，以通过现代数据分析来远程跟踪人类感知评估的异常语音生产，并增强人类感知评估。意识到这一愿景需要开发先进的信号处理方法和以可扩展方式实现它的一套移动应用程序。