CCI-Mobile: Signal Processing Advancements for Cochlear Implant Users in Naturalistic Environments

CCI-Mobile：自然环境中人工耳蜗用户的信号处理进步

• 批准号: 10166457
• 负责人: John H.L. Hansen
• 金额: $ 23.88万
• 依托单位: UNIVERSITY OF TEXAS DALLAS
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-05-03 至 2023-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10166457
• 关键词: Acoustics; Algorithms; Award; Clinical; Cloud Computing; Cochlear Implants; Code; Communication; Communities; Complement; Computer software; Data; Data Collection; Databases; Development; Ecological momentary assessment; Electronics; Engineering; Environment; FAIR principles; Fostering; Foundations; Goals; Hearing; Hearing Aids; Home environment; Implant; Laboratory Research; Modernization; Participant; Positioning Attribute; Privatization; Reporting; Research; Research Project Grants; Resources; Risk; Running; Sampling; Science; Site; Speech; Techniques; Testing; Time; United States National Institutes of Health; Visualization; Work; base; cloud based; cloud platform; computer science; crowdsourcing; data ecosystem; data management; design; experience; experimental study; field study; flexibility; hearing impairment; interest; next generation; notch protein; novel; open source; portability; repository; response; shared database; signal processing

1 Project Summary/Abstract (30 lines maximum) 2 The main goal of the active award (Specific Aim 4) is to develop a next-generation, flexible, open source, 3 portable and real-time speech processor platform to be shared with the cochlear implant research 4 community. A successful version of the platform (CCi-MOBILE) has already been developed and shared 5 with many academic and private research laboratories around the world. CCi-MOBILE is compatible with 6 clinically available implanted electronics, but it is unique in providing flexibility and real-time capability 7 that is orders of magnitude greater than any existing external speech processors or other available 8 research platforms. 9 There is much interest among the CCi-MOBILE research community, consisting of dozens of users, to 10 expand CCi-MOBILE capabilities and software to promote field testing in realistic listening situations. 11 These include: (i) the ability to conduct remote experiments and data collection across different CCi- 12 MOBILE sites; (ii) conduct experiments and data collection at home and other real-world environments; 13 (iii) implementation of remote stimulation parameter changes in real time; (iv) record and store samples 14 of the acoustic environment; (v) use Ecological Momentary Assessment (EMA), a technique to collect 15 participant responses in their natural environment and close in time to the experience they are reporting. 16 While having all this functionality in a single platform would foster a new paradigm in terms of the 17 research projects that may be possible, there is a risk that such functionality may be developed in 18 incompatible ways across sites. Instead, we propose developing a single, open-source cloud environment 19 for CCi-MOBILE code, algorithms, and data. This will include a database repository whose design is based 20 on FAIR principles. The ability to conduct global crowdsourced experiments across CCi-MOBILE sites will 21 be a major feature that will greatly accelerate the testing and development of novel audio processing 22 algorithms. Importantly, the project will leverage resources available through the NIH STRIDES initiative. 23 Due to our teams’ expertise in related efforts such as those supported by the LENA Foundation or the 24 cloud-based data sharing depository for Apollo-11 audio resources developed by the UTD team, we 25 believe we are in an excellent position to carry out the proposed development work. The supplement 26 would be largely used to engage top-notch computer science and engineering expertise to complement 27 our existing strengths in a way that will facilitate scalable, world-wide improvement in how the CCi-Mobile 28 research interface is utilized.

1项目概要/摘要（最多30行） 2主动奖的主要目标（具体目标4）是开发下一代，灵活，开源， 3便携式实时语音处理器平台与人工耳蜗研究共享 4社区该平台的一个成功版本（CCi-MOBILE）已经开发和共享 5与世界各地的许多学术和私人研究实验室。CCi-MOBILE兼容 6种临床可用的植入式电子设备，但其在提供灵活性和实时能力方面是独一无二的 7的数量级大于任何现有的外部语音处理器或其他可用的 8研究平台 9由数十名用户组成的CCi-MOBILE研究社区非常感兴趣， 10扩展CCi-MOBILE功能和软件，以促进在真实收听情况下的现场测试。 11其中包括：（一）能够在不同的CCi之间进行远程实验和数据收集， 12个移动的站点;（ii）在家中和其他真实世界环境中进行实验和数据收集; （iii）真实的时间远程刺激参数变化的实现;（iv）记录和存储样本 （v）使用生态瞬时评估（EMA），这是一种收集 15名参与者在他们的自然环境中做出回应，并及时报告他们的经历。 16虽然在一个平台上拥有所有这些功能将促进一个新的模式， 17研究项目，可能是可能的，有一个风险，这种功能可能会开发， 18个不兼容的方式跨网站。相反，我们建议开发一个单一的开源云环境 19用于CCi-MOBILE代码、算法和数据。这将包括一个数据库存储库，其设计基于 20公平原则跨CCi-MOBILE站点进行全球众包实验的能力将 21是一个主要的特点，将大大加快测试和开发新的音频处理 22种算法。重要的是，该项目将通过NIH的ENUDES倡议利用可用资源。 23由于我们的团队在相关工作中的专业知识，例如LENA基金会或 由UTD团队开发的24个基于云的阿波罗-11音频资源数据共享存储库，我们 25相信我们处于一个很好的位置来进行拟议的发展工作。补充剂 26将主要用于聘请一流的计算机科学和工程专业知识，以补充 27我们现有的优势，以促进可扩展的，全球范围内的改进，如何CCi-Mobile 28个研究接口。