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2007 3rd International IEEE/EMBS Conference on Neural Engineering最新文献

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Coherence Analyses of Event-Related Potentials Using Fourier and Wavelet Transforms 用傅里叶变换和小波变换分析事件相关电位的相干性
Pub Date : 2007-05-02 DOI: 10.1109/CNE.2007.369750
H. Chan, Ling-Fu Meng, Pei-Kuang Chao, Ming-An Lin
The EEG coherence is beneficial to investigate cortical connectivity of different brain regions in response to specific events. Recently, the wavelet-based coherence is suggested for this purpose due to that it can capture the time-varying characteristics of signals from which the Fourier transform would suffer. However, the quantitative comparison between Fourier and wavelet-based coherence is less addressed. In this paper we used simulated signals under various signal-to-noise ratios and real evoked electrophysiological signals to assess the coherence estimation of these two methods. Our results showed that Fourier-based coherence is more affected by the Guassian noise than wavelet-based coherence, in particular at the frequency band of 18-50 Hz
脑电相干性有助于研究脑皮层不同区域对特定事件反应的连通性。最近,基于小波的相干性被提出用于此目的,因为它可以捕获信号的时变特征,而傅里叶变换会受到影响。然而,傅里叶和基于小波的相干性之间的定量比较较少。本文用不同信噪比下的模拟信号和真实诱发的电生理信号来评估这两种方法的相干性估计。结果表明,基于傅里叶的相干性比基于小波的相干性受高斯噪声的影响更大,特别是在18-50 Hz频段
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引用次数: 0
Patterning of Silicone Rubber for Micro-Electrode Array Fabrication 用于微电极阵列制造的硅橡胶图案化
Pub Date : 2007-05-02 DOI: 10.1109/CNE.2007.369610
M. Schuettler, C. Henle, J. Ordonez, G. Suaning, N. Lovell, T. Stieglitz
Five methods of micro-patterning silicone rubber, (polydimethylsiloxane, PDMS) are reviewed. Three of the methods are experimentally evaluated in order to find the most suitable process parameters to expose electrode sites and contact pads of PDMS-embedded platinum structures for fabricating micro-electrode arrays. Rated by applicability, type of PDMS involved (implantable-grade required), achievable aspect ratio (AR) and minimum feature size (FS), the feasibility of two methods was demonstrated: laser-ablation, using a Nd:YAG laser (AR = 5.3, FS > 100 mum) and dry etching using a reactive ion etcher (AR = 10, FS > 10 mum).
综述了五种硅橡胶(聚二甲基硅氧烷,PDMS)微图纹的制备方法。实验评估了三种方法,以找到最合适的工艺参数来暴露pdms嵌入铂结构的电极位置和接触垫,以制造微电极阵列。根据适用性、所涉及的PDMS类型(所需的可植入等级)、可实现的长宽比(AR)和最小特征尺寸(FS)进行评级,证明了两种方法的可行性:激光烧蚀,使用Nd:YAG激光器(AR = 5.3, FS > 100 mum)和使用反应离子蚀刻器(AR = 10, FS > 10 mum)干蚀刻。
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引用次数: 26
A New Configuration of Multipolar Cuff Electrode and Dedicated IC for Afferent Signal Recording 一种用于输入信号记录的多极袖带电极和专用IC的新结构
Pub Date : 2007-05-02 DOI: 10.1109/CNE.2007.369739
L. Gouyet, G. Cathébras, S. Bernard, D. Guiraud, Y. Bertrand
Sensory information coming from natural sensors and being propagated on afferent nerve fibers could be used as feedback for a more efficient closed-loop control of a functional electrical stimulation system. In order to extract and separate these signals according to their nerve fascicule origins, we propose a new architecture of a multipolar cuff electrode and an optimized integrated acquisition circuit. Concerning the electrode, we propose a specific configuration using a large number of poles in order to both reject parasitic signals, such as electromyogram and provide a maximum of recording channels in order to help the signal localization inside the nerve. Moreover, specific low-level analog signal processing was designed to extract the expected low-amplitude signal from its noisy environment. This signal processing is implemented in an ASIC that has to be implanted close to the electrode to achieve the best signal-to-noise ratio
来自自然传感器并在传入神经纤维上传播的感觉信息可以作为反馈用于功能电刺激系统的更有效的闭环控制。为了根据神经束的来源提取和分离这些信号,我们提出了一种新的多极袖带电极结构和优化的集成采集电路。关于电极,我们提出了一种使用大量极点的特定配置,以拒绝肌电图等寄生信号,并提供最大的记录通道,以帮助信号在神经内定位。此外,设计了特定的低电平模拟信号处理,从噪声环境中提取期望的低幅值信号。这种信号处理是在ASIC中实现的,ASIC必须植入靠近电极以获得最佳信噪比
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引用次数: 4
Extraction of Auditory Attention Correlates in Single Sweeps of Cortical Potentials by Maximum Entropy Paradigms and its Application 用最大熵范式提取皮层电位单次扫描听觉注意相关物及其应用
Pub Date : 2007-05-02 DOI: 10.1109/CNE.2007.369711
Y. Low, F. I. Corona-Strauss, P. Adam, D. Strauss
Recently, we have shown that the wavelet phase synchronization stability of single sweeps of auditory late responses (ALRs) allows for the quantification of the tinnitus decompensation. Our underlying model of adaptive resonance and spotlighting of attention links the synchronization stability directly to neural correlates of attention reflected in ALRs. Correlates of this attentional mechanism are further investigated in this study by using an auditory paradigm based on maximum entropy principle in healthy subjects. In particular, we show that the wavelet phase synchronization of ALR single sweeps allows for a direct online monitoring of phase locked auditory attention. Such an online monitoring cannot be implemented by known procedures as they are based on large-scale averages of ALRs. Apart from the objective quantification of the tinnitus decompensation, this measure can be used in every online and real time neurofeedback therapeutic approach where a direct stimulus locked attention monitoring is mandatory
最近,我们已经证明了听觉延迟反应单次扫描的小波相位同步稳定性可以量化耳鸣失代偿。我们的自适应共振和注意力聚焦的基础模型将同步稳定性直接与alr中反映的注意力的神经相关联系起来。本研究采用基于最大熵原理的听觉范式在健康被试中进一步探讨了这一注意机制的相关因素。特别是,我们表明ALR单次扫描的小波相位同步允许直接在线监测锁相听觉注意。这种在线监测不能通过已知的程序来实施,因为它们是基于大规模的空气污染指数平均值。除了客观量化耳鸣失代偿外,该措施可用于任何在线和实时神经反馈治疗方法,其中直接刺激锁定注意力监测是强制性的
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引用次数: 34
Fabrication of multi-layer, high-density micro-electrode arrays for neural stimulation and bio-signal recording 用于神经刺激和生物信号记录的多层高密度微电极阵列的制备
Pub Date : 2007-05-02 DOI: 10.1109/CNE.2007.369597
G. Suaning, M. Schuettler, J. Ordonez, N. Lovell
The electrode-tissue interface is of principal importance in neuroprosthesis. Indeed the successes of the cochlear implant and other therapeutic devices are directly attributable to the design and fabrication techniques of their interfaces with neural tissue, that is, the electrode or electrode array. Traditional fabrication techniques are often labor-intensive and do not lend themselves to automation thereby increasing the cost of the electrode, and owing to fabrication variability, potentially compromising the reliability of the devices incorporating them. Exacerbating the difficulties in electrode fabrication further is the fact that only a handful of materials have been demonstrated to be biologically inert. These same materials are often among the most difficult to utilize in the fabrication of neural electrodes. In the present paper, a new methodology for automated fabrication of high-density electrode arrays is presented. Using exclusively biologically-inert raw materials, laser machining techniques combined with multiple layer structuring is shown to achieve feature sizes of the order of 25 mum. As an illustrative example, a 98 electrode array for interfacing with surviving retinal tissue through a visual prosthesis for the blind is presented. Overall dimensions of the array are of the order of 8.7 times 9.4 mm, consistent with approximately 25 degrees of visual field.
电极-组织界面在神经假体中具有重要意义。事实上,人工耳蜗和其他治疗设备的成功直接归功于它们与神经组织接口的设计和制造技术,即电极或电极阵列。传统的制造技术通常是劳动密集型的,不适合自动化,从而增加了电极的成本,并且由于制造的可变性,潜在地损害了包含它们的设备的可靠性。只有少数材料被证明是生物惰性的,这进一步加剧了电极制造的困难。这些相同的材料通常是最难用于制造神经电极的材料之一。本文提出了一种高密度电极阵列自动化制造的新方法。仅使用生物惰性原料,结合多层结构的激光加工技术被证明可以实现25微米的特征尺寸。作为一个说明性的例子,98电极阵列的接口与幸存的视网膜组织通过视觉假体为盲人提出。阵列的整体尺寸约为8.7 × 9.4 mm,符合约25度的视野。
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引用次数: 35
A Neural Informatics Approach to Cognitive Assessment and Monitoring 认知评估与监测的神经信息学方法
Pub Date : 2007-05-02 DOI: 10.1109/CNE.2007.369768
H. Jimison, M. Pavel, K. Wild, P. Bissell, J. McKanna, D. Blaker, D. Williams
Traditional methods of cognitive assessment using neuropsychological tests are expensive and time consuming. These methods do not lend themselves to frequent monitoring and trend detection. In this paper, we describe a method for using enjoyable computer games with embedded cognitive metrics to monitor within-subject trends in performance. We have created a set of 9 computer games to specifically measure various cognitive domains that are normally administered in routine neuropsychological assessments, such as verbal fluency, working memory, attention, and planning. Although the measurements are not taken in a controlled setting, there are distinct advantages to being able to collect data frequently in a naturalistic setting. Routine measurements over time allow us to detect trends in various aspects of cognitive performance and avoid biases due to education, culture, and experience.
使用神经心理学测试的传统认知评估方法既昂贵又耗时。这些方法不适合进行频繁的监测和趋势检测。在本文中,我们描述了一种使用具有嵌入式认知指标的令人愉快的电脑游戏来监测主题内性能趋势的方法。我们创建了一套9个电脑游戏,专门测量日常神经心理学评估中通常使用的各种认知领域,如语言流畅性、工作记忆、注意力和计划。虽然测量不是在受控环境中进行的,但能够在自然环境中频繁收集数据有明显的优势。随着时间的推移,常规测量使我们能够发现认知表现各个方面的趋势,并避免因教育、文化和经验而产生的偏见。
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引用次数: 12
Analysis of Spatio-temporal Cortical Activity with Artificial Neural Network 基于人工神经网络的大脑皮层时空活动分析
Pub Date : 2007-05-02 DOI: 10.1109/CNE.2007.369749
H. Takahashi, M. Uchihara, A. Funamizu, Rio Yokota, R. Kanzaki
The artificial neural network (ANN) can translate spatio-temporal neural activities into the corresponding test stimuli. ANN with a simple structure and generalization ability has a potential to reflect a prominent feature of the computation mechanism in the brain. In the present work, we propose a novel analysis using ANN. In the constructed ANN, neural activities in the primary auditory cortex (A1) served as the inputs, and time-series changes of test frequencies of tones served as the targets. We then investigated input-output relationships of hidden layer neurons. Consequently, we found that some hidden layer neurons tuned the frequency preference by excitatory inputs from all frequency regions, while others tuned with inhibitory inputs from a low frequency region. These results suggest that neural activities in A1 form the frequency preference with excitatory inputs from all frequency pathways and inhibitory inputs from a low frequency pathway. This suggestion is consistent with physiological facts, thus proving the feasibility of the proposed analysis.
人工神经网络(ANN)可以将时空神经活动转化为相应的测试刺激。神经网络具有简单的结构和泛化能力,有可能反映出大脑中计算机制的一个突出特征。在目前的工作中,我们提出了一种新的使用人工神经网络的分析方法。在构建的神经网络中,初级听觉皮层(A1)的神经活动作为输入,音调测试频率的时间序列变化作为目标。然后我们研究了隐层神经元的输入-输出关系。因此,我们发现一些隐藏层神经元通过来自所有频率区域的兴奋性输入来调节频率偏好,而其他隐藏层神经元通过来自低频区域的抑制性输入来调节频率偏好。这些结果表明,A1的神经活动通过来自所有频率通路的兴奋性输入和来自低频通路的抑制性输入形成频率偏好。这一建议与生理事实相一致,从而证明了所提出分析的可行性。
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引用次数: 0
Novel Neural Interface for Vision Prosthesis Electrodes: Improving Electrical and Mechanical Properties through Layering 视觉假体电极的新型神经接口:通过分层改善电学和力学性能
Pub Date : 2007-05-02 DOI: 10.1109/CNE.2007.369621
R. Green, L. Poole-Warren, N. Lovell
The rationale for this research is to address the problem of long-term function of neural interfaces. The approach followed is surface modification of traditional electrode materials using electrically conducting polymers and biological factors with the aim of establishing a functional neural interface between stimulating electrode and neural tissue. Polypyrrole films can be relatively flexible but have insufficient electrochemical stability to be used in long-term neuroprosthetic implants. Polyethylene dioxythiophene films have good electrochemical stability but are very difficult to handle and are subject to failure by brittle fracture. The specific aim of this study was to evaluate layering of different conductive polymers for optimization of film properties. Layering of the films was shown to produce composite materials with properties superior to those of the individual components. Conductivity of the layered film was between that of each film alone and mechanical stability was similar to the more flexible PPy films. Neurite outgrowth was improved on the layered film. These layered films show promise as conductive coatings for electrodes.
本研究的基本原理是解决神经接口的长期功能问题。接下来的方法是利用导电聚合物和生物因子对传统电极材料进行表面改性,目的是在刺激电极和神经组织之间建立功能性神经界面。聚吡咯薄膜相对灵活,但电化学稳定性不足,无法用于长期的神经假体植入。聚乙烯二氧噻吩薄膜具有良好的电化学稳定性,但处理难度大,易发生脆性断裂。本研究的具体目的是评估不同导电聚合物的分层对薄膜性能的优化。薄膜的分层被证明产生的复合材料的性能优于那些单独的组件。层状薄膜的电导率介于每层薄膜之间,机械稳定性与更灵活的PPy薄膜相似。层状膜上神经突的生长得到改善。这些层状薄膜有望成为电极的导电涂层。
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引用次数: 11
A Fully Integrated Energy-Aware Baseband Circuitry for Next-Generation Retinal Implants 用于下一代视网膜植入物的全集成能量感知基带电路
Pub Date : 2007-05-02 DOI: 10.1109/CNE.2007.369624
C. Gong, Kai-Wen Yao, Chun-Hsien Su, Sheng-Yang Ho, Chi-Tong Hong, Tong-Yi Chen, Jyun-Wei Lu, Yin Chang, M. Shiue
The state-of-the-art prosthetic devices have been successfully approved as critical approach to provide at least partial reconstruction for physiological diseases by replacing a damaged tissue or organ. Invariably, they are always aspired to have lower power consumption despite the battery or the battery-less implementation. This paper presents an energy-aware baseband circuitry concerned about the next-generation multi-channel prostheses especially for the retinal implant in which an inductive-coil link is preferred to fulfill the need of power delivery for providing safer tissue-machine interfaces in the intraocular environment. The extended lifetime for those of the battery-dependent implants can be also achieved by adopting such a power-efficient scheme. The proposed system is a 16-channel-based on-electrode multiplexing design, which can deal with up to 40 frame/sec with 240 stimulus channels in mode I and 3 times the resolution at the same frame rate in mode II under a carrier frequency of 2 MHz. A prototypical chip was implemented in a 0.18mum CMOS process and the experiment has also been carried out as proof of concept.
最先进的假肢装置已经成功地被批准为通过替换受损的组织或器官来提供至少部分重建生理疾病的关键方法。尽管有电池或无电池的实现,他们总是渴望有更低的功耗。本文提出了一种能量感知基带电路,用于下一代多通道假体,特别是视网膜植入物,其中电感线圈链路优先满足在眼内环境中提供更安全的组织-机器接口的电力传输需求。采用这种节能方案也可以延长依赖电池的植入物的使用寿命。所提出的系统是一种基于16通道的电极上复用设计,在模式I下可以处理高达40帧/秒的240个刺激通道,在载波频率为2 MHz的模式II下,以相同帧速率处理的分辨率是其3倍。在0.18 μ m CMOS工艺中实现了原型芯片,并进行了实验作为概念验证。
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引用次数: 1
The Behavioral Split in the Gamma Band 伽马波段的行为分裂
Pub Date : 2007-05-02 DOI: 10.1109/CNE.2007.369710
K. Miller, Rajesh P. N. Rao, J. Ojemann
Using a simple motor task, we demonstrate that the classic gamma range contains behavioral inflections within its power spectrum that inhibit its use as a generic feature for control in brain computer interfaces. We characterize this behavioral junction, J0, and call for a more appropriate designation of behaviorally useful spectral change, which we denote the chi-band (chi-band)
通过一个简单的运动任务,我们证明了经典伽玛范围在其功率谱内包含行为变化,这抑制了它作为脑机接口控制的一般特征的使用。我们描述了这种行为连接,J0,并要求更适当地命名行为有用的光谱变化,我们称之为chi-band (chi-band)。
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引用次数: 4
期刊
2007 3rd International IEEE/EMBS Conference on Neural Engineering
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