Bimodal Cochlear Implant Processing based on Assisted Hearing algorithms with CCi-MOBILE: an open-source research platform.
Bimodal Cochlear Implant Processing based on Assisted Hearing algorithms with CCi-MOBILE: an open-source research platform.
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基于 CCi-MOBILE 辅助听力算法的双模式人工耳蜗处理：开源研究平台。
DOI：
10.1109/embc48229.2022.9871695
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Hansen,JohnHL
中科院分区：
文献类型：
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作者：
Ghosh,Ria;Hansen,JohnHL
人工耳蜗(CI)和助听器(HA)使用者在安静状态下的语音理解是相对有效的，但听者在辨认说话人和声音定位方面存在困难。以前的研究已经报道，当单侧CI与对侧耳朵的HA相结合时，改善了定位和更好的言语感知。这被称为语音的双模式呈现或电和声刺激(EAS)。由学术或行业赞助的研究团队开发的各种CI研究界面支持拟议的信号处理和心理声学调查，但有效验证双峰算法的能力有限。支持双峰测试的平台(CI和HA)要么不可移植，要么由于专有参数/例程而仅提供有限的功能。CCI-MOBILE是达拉斯大学开发的一种开源、便携式信号处理研究设备，可以同时进行电刺激和声刺激，从而为研究人员提供了为听力障碍者探索新技术和科学范式的机会。在本工作中，我们以认证和高效的方式验证和实现同步双峰(电声)输出，以支持用于实验研究的声音和声学定位算法。
While speech understanding for cochlear implant (CI) and Hearing aid (HA) users in quiet is relatively effective, listeners experience difficulty in identification of speakers and sound location. Previous studies have reported improved localization and better speech perception when the unilateral CI is coupled with a HA in the contralateral ear. This is referred to as bimodal presentation of speech or electric and acoustic stimulation (EAS). Various CI research interfaces developed by either academic or industry sponsored research teams support proposed signal processing and psychoacoustic investigations but have limited ability to efficiently validate bimodal algorithms. Platforms that support bimodal testing (CI and HA) are either not portable or only provide limited features due to proprietary parameters/routines. CCi-MOBILE, an open-source, portable signal processing research device, developed by UT-Dallas, enables electric and acoustic stimulations simultaneously, thus providing researchers the opportunity to explore new technology and scientific paradigms for the hearing impaired. In the present work, we provide verification and implementation of synchronized bimodal (electric-acoustic) output in an authenticated and efficient manner to support sound and acoustic localization algorithms for experimental investigations.