用于去相关高密度多电极神经记录的空间滤波器的硬件考量
Hardware considerations of a spatial filter for decorrelating high-density multielectrode neural recordings.
作者信息
Thomson Kyle E, Oweiss Karim G
机构信息
Electrical and Computer Engineering Department, Michigan State University, East Lansing, MI, USA.
出版信息
Conf Proc IEEE Eng Med Biol Soc. 2006;2006:1244-7. doi: 10.1109/IEMBS.2006.259867.
High density implantable microelectrode arrays record large amounts of highly correlated data, which causes large strains on limited bandwidth telemetry systems. Previous work has shown that the use of a spatial filter can significantly reduce the number of channels that must be transmitted to adequately represent the data. However, the limitations on power and size for an implantable neuroprosthetic device impose significant limitations on the computational complexity of the spatial filter. We assess the performance of the floating point operations of spatial filtering and show that it can be approximated to integers with negligible losses to signal fidelity, thus reducing the computational complexity.
高密度可植入微电极阵列会记录大量高度相关的数据，这给有限带宽的遥测系统带来了巨大压力。先前的研究表明，使用空间滤波器可以显著减少为充分表示数据而必须传输的通道数量。然而，可植入神经假体设备在功率和尺寸方面的限制，对空间滤波器的计算复杂度施加了重大限制。我们评估了空间滤波浮点运算的性能，并表明它可以近似为整数，而对信号保真度的损失可忽略不计，从而降低了计算复杂度。
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