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个项目摘要/摘要（最多30行） 2主动奖励的主要目标（特定目标4）是开发下一代，灵活，开源， 3可与人工耳蜗研究共享的便携式和实时语音处理器平台 4社区。该平台的成功版本已经开发和共享 5拥有世界各地的许多学术和私人研究实验室。 CCI-Mobile与 6个临床上可用的植入电子产品，但在提供灵活性和实时功能方面是独一无二的 7那是比任何现有的外部语音处理器或其他可用的其他外部语音处理器大的数量级 8个研究平台。 9 CCI-Mobile研究社区中有很多兴趣 10扩展CCI-Mobile功能和软件，以促进现实的听力情况下的现场测试。 11这些包括：（i）能够在不同CCI上进行远程实验和数据收集的能力 12个移动网站； （ii）在家中和其他现实环境中进行实验和数据收集； 13（iii）实时实施实时的远程刺激参数变化； （iv）记录并存储样品 声学环境的14； （v）使用生态瞬时评估（EMA），这是一种收集的技术 15名参与者在自然环境中的回应，并在其报告的经验中及时接近。 16尽管在一个平台上拥有所有这些功能会促进新的范式 17可能可能有可能的研究项目，可能会在 跨站点的18种不相容的方式。相反，我们建议开发一个单一的开源云环境 19对于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。在CCI-Mobile站点进行全球众包实验的能力将 21成为一个主要功能，将大大加快新型音频处理的测试和开发 22个算法。重要的是，该项目将利用NIH大步倡议可用的资源。 23由于我们的团队在相关工作方面的专业知识，例如莉娜基金会或 24 UTD团队开发的Apollo-11音频资源的基于云的数据共享沉积，我们 25相信我们在拟议的开发工作中处于良好的位置。补充 26将在很大程度上用于吸引一流的计算机科学和工程专业知识以完成 27我们现有的优势，以促进CCI-Mobile的可扩展性，全球范围的改进的方式 28研究界面被利用。