基于pda的人工耳蜗植入研究平台

2007 3rd International IEEE/EMBS Conference on Neural Engineering Pub Date : 2007-05-02 DOI:10.1109/CNE.2007.369603

UT Dallas, Erik Jonsson, Hussnain Ali, Philip C Loizou

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引用次数: 24

摘要

目前有兴趣为商用人工耳蜗开发新的信号处理算法的研究人员必须依赖于用低级汇编语言对这些算法进行编码。我们提出了一个基于个人数字助理(PDA)的研究平台，用于开发和测试人工耳蜗的实时新信号处理策略。软件开发可以在C语言或LabVIEW中完成。使用英特尔的原始例程可以进一步优化C实现。在本文中，我们报告了16通道噪声带声码器算法的实时实现，这是一种类似于商用植入处理器中使用的算法。我们进一步报告了通过紧凑型闪存数据采集卡在PDA上获得的脑电图记录。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A PDA-based Research Platform for Cochlear Implants

Currently researchers interested in developing new signal processing algorithms for commercially available cochlear implants must rely on coding these algorithms in low-level assembly language. We propose a personal digital assistant (PDA) based research platform for developing and testing in real-time new signal processing strategies for cochlear implants. Software development can be done either in C or in LabVIEW. The C implementation can be further optimized using Intel's primitive routines. In this paper, we report on the real-time implementation of a 16-channel noise-band vocoder algorithm, which is a similar algorithm used in commercially available implant processors. We further report on EEG recordings on the PDA acquired through a compact-flash data acquisition card.

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2007 3rd International IEEE/EMBS Conference on Neural Engineering

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