由耳蜗放大器启发的自传感主动人造毛细胞,第二部分:实验验证

IF 2.4 3区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY
Sheyda Davaria, V. V. S. Malladi, P. Tarazaga
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引用次数: 0

摘要

模拟哺乳动物人工耳蜗放大器的非线性压缩行为,导致高强度声音的压缩和微弱刺激的放大,可以导致人工耳蜗植入物的动态范围,响应的清晰度和声音检测阈值的革命性改进,以帮助听力损失的个体。此外,它还可以提高传感器的动态性能。本研究开发的自感人工毛细胞(AHCs)验证了本文第一部分建立的现象学控制算法,以实现四形人工毛细胞的耳蜗样反应。当光束被激发时,测量压电层的电压并用于产生控制电压。因此,控制器对AHC施加三次阻尼,同时减少其第一固有频率附近的线性阻尼,以复制生物耳蜗的功能。实验结果验证了本文第一部分建立的模型,并将工作扩展到实现多通道AHC。该系统独立于外部传感器工作,与前几代ahc相比具有显著优势,例如能够在有限的空间内嵌入ahc,并且无需外部反馈测量设备即可将多个ahc组合在一个阵列中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Self-sensing active artificial hair cells inspired by the cochlear amplifier, Part II: Experimental validation
Mimicking the nonlinear compressive behavior of the mammalian cochlear amplifier that results in the compression of high-intensity sounds and amplification of faint stimuli can lead to transformative improvements in the dynamic range, sharpness of the response, and threshold of sound detection in cochlear implants to aid individuals with hearing loss. Furthermore, it can enhance the dynamic properties of sensors. This research on developing self-sensing artificial hair cells (AHCs) validates the phenomenological control algorithm established in Part I of the paper to achieve a cochlea-like response from the quadmorph AHCs. As the beam is excited, the voltage of the piezoelectric layers is measured and used to generate a control voltage. Consequently, the controller applies cubic damping to the AHC, while reducing linear damping near its first natural frequency to replicate the biological cochlea’s function. Experimental results validate the model built in Part I of the paper and the work is extended to implement a multi-channel AHC. The system works independent of external sensors and offers significant advantages over previous generations of AHCs such as the ability to embed AHCs in a limited space and to combine several AHCs in an array without the need for external feedback measurement devices.
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来源期刊
Journal of Intelligent Material Systems and Structures
Journal of Intelligent Material Systems and Structures 工程技术-材料科学:综合
CiteScore
5.40
自引率
11.10%
发文量
126
审稿时长
4.7 months
期刊介绍: The Journal of Intelligent Materials Systems and Structures is an international peer-reviewed journal that publishes the highest quality original research reporting the results of experimental or theoretical work on any aspect of intelligent materials systems and/or structures research also called smart structure, smart materials, active materials, adaptive structures and adaptive materials.
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