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 份项目摘要/摘要（最多 30 行） 2 该活动奖项的主要目标（具体目标 4）是开发下一代、灵活、开源、 3 与人工耳蜗研究共享的便携式实时语音处理器平台 4 社区已经开发并共享了该平台的成功版本（CCi-MOBILE）。 5. CCi-MOBILE 与全球许多学术和私人研究实验室兼容。 6 种临床可用的植入电子设备，但其独特之处在于提供灵活性和实时功能 7 比任何现有的外部语音处理器或其他可用的处理器大几个数量级 8个研究平台。 9 由数十名用户组成的 CCi-MOBILE 研究社区对 10 扩展 CCi-MOBILE 功能和软件，以促进在真实聆听情况下的现场测试。 11 其中包括：(i) 跨不同 CCi- 进行远程实验和数据收集的能力 12 个移动站点；(ii) 在家庭和其他现实环境中进行实验和数据收集； 13 (iii) 实现远程刺激参数实时变化 (iv) 记录和存储样本； 14 声环境；(v) 使用生态瞬时评估 (EMA) 技术来收集 15 名参与者在他们的自然环境中做出反应，并且及时地接近他们所报告的经历。 16 虽然在一个平台上拥有所有这些功能将在 17 个可能的研究项目，存在开发此类功能的风险 18 种跨站点不兼容的方式 相反，我们建议开发一个单一的开源云环境。 19 CCi-MOBILE 代码、算法和数据 这将包括一个其设计基于的数据库存储库。 20 关于公平原则的能力将在 CCi-MOBILE 网站上进行全球众包实验。 21 是一个主要功能，将大大加速新型音频处理的测试和开发 22 种算法。重要的是，该项目将利用 NIH STRIDES 计划提供的资源。 23 由于我们团队在相关工作方面的专业知识，例如由 LENA 基金会或 UTD团队开发的24个基于云的Apollo-11音频资源数据共享存储库，我们 25 相信我们处于有利位置来开展拟议的开发工作。 26将主要用于聘请顶尖的计算机科学和工程专业知识来补充 27 我们现有的优势将促进 CCi-Mobile 在全球范围内进行可扩展的改进 利用28个研究接口。