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Sensitivity of a frequency-selective electrode based on spatial spectral properties of the extracellular AP of myelinated nerve fibers

机译:基于有髓神经纤维胞外AP的空间光谱特性的频率选择电极的灵敏度

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In the context of functional electrical stimulation, neural recording is one of the main issues. For instance, the control of the limbs in people with motor deficiencies needs information about the muscle lengths and speeds that can be extracted from electroneurograms (ENG) carried on afferent peripheral nerves. The aim of this study is to propose an non-invasive and spatial-selective electrode (because specific informations are carried into different fascicles). To do so, we investigate the spatial properties of an extracellular action potential (AP). This properties are described qualitatively and quantitatively using analytical study on an inhomogeneous an anisotropic nerve model. Then, a spectral analysis on this spatial signal discriminates the different frequency components. Low spatial frequencies represent the global shape of the signal, whereas high frequencies are related to the type of fibers. We show that the latter is rapidly attenuated with the distance and thus, being a local phenomenon, can be used as a selective measurement. Finally, we propose a spatial filtering based on electrode design and an electronic architecture to extract this high frequencies.
机译:在功能性电刺激的背景下,神经记录是主要问题之一。例如,运动障碍者的四肢控制需要有关肌肉长度和速度的信息,这些信息可以从传入神经末梢携带的神经电图(ENG)中提取。这项研究的目的是提出一种非侵入性的空间选择性电极(因为特定的信息被携带到不同的分册中)。为此,我们研究了细胞外动作电位(AP)的空间特性。使用非均质各向异性神经模型的分析研究定性和定量地描述了此特性。然后,对该空间信号进行频谱分析以区分不同的频率分量。低空间频率代表信号的整体形状,而高频率则与光纤的类型有关。我们表明,后者随距离而迅速衰减,因此,作为局部现象,可以用作选择性测量。最后,我们提出了一种基于电极设计和电子架构的空间滤波,以提取这种高频。

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