Velocity Selective Neural Signal Recording Using a Space-Time Electrode Array
Velocity Selective Neural Signal Recording Using a Space-Time Electrode Array
复制标题
使用时空电极阵列进行速度选择性神经信号记录
DOI：
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复制
发表时间：
2015
影响因子：
4.9
通讯作者：
S. Seydnejad
中科院分区：
文献类型：
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作者：
Fatemeh Karimi;S. Seydnejad
从不同的临床角度来看，从周围神经的细胞外记录中提取特定神经纤维的活动是非常重要的。虽然传统的神经记录方法无法提供这种粒度，但最近新的信号记录和处理技术提供了很有前途的解决方案。基于动作电位的传播速度，采用多电极袖带结合延时和和波束形成结构来检测神经中不同纤维的活动。然而，如本文所示，简单的延迟和和波束形成方法会遇到严重的选择性问题和信号失真，特别是在高速下。除了仔细研究延迟和和波束形成器的性能及其固有问题外，本文还提出了一种新的波束形成方法，该方法基于宽带传感器阵列信号处理技术，具有均匀的频率-速度响应，具有更好的选择性。我们的仿真结果显示了新方法如何忠实地提取单个神经纤维活动，并探索了使用这种技术可能产生的潜在应用。
Extracting the activity of a particular neural fiber from the extracellular recording of a peripheral nerve is quite important from different clinical perspectives. While traditional neural recording methods are unable to provide such granularity, new signal recording and processing techniques have offered promising solutions recently. A multi-electrode cuff in conjunction with a delay and sum beamforming structure has been used to detect the activity of different fibers in a nerve based on the propagation velocity of action potentials. However, as it is shown in this paper, simple delay and sum beamforming method encounters severe selectivity problem and signal distortion especially at higher velocities. In addition to scrutinizing the performance of the delay and sum beamformer and its inherent problems, here we propose a new beamforming method, based on broadband sensor array signal processing techniques, which exhibits much better selectivity with uniform frequency-velocity response. Our simulation results show how the new method can faithfully extract individual neural fiber activities and explore potential applications which could emerge from using such technique.