Shaeri Mohammad Ali, Sodagar Amir M, Abrishami-Moghaddam Hamid
Research Laboratory for Integrated Circuits and Systems, Department of Electrical and Computer Engineering, KNToosi University of Technology, Tehran, Iran.
Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:6409-12. doi: 10.1109/IEMBS.2011.6091582.
A signal processor/compressor dedicated to implantable neural recording microsystems is presented. Signal compression is performed based on Haar wavelet. It is shown in this paper that, compared to other mathematical transforms already used for this purpose, compression of neural signals using this type of wavelet transform can be of almost the same quality, while demanding less circuit complexity and smaller silicon area. Designed in a 0.13-μm standard CMOS process, the 64-channel 8-bit signal processor reported in this paper occupies 113 μm x 110 μm of silicon area. It operates under a 1.8-V supply voltage at a master clock frequency of 3.2 MHz.
本文介绍了一种专用于植入式神经记录微系统的信号处理器/压缩器。信号压缩基于哈尔小波进行。本文表明，与已用于此目的的其他数学变换相比，使用这种类型的小波变换对神经信号进行压缩，其质量几乎相同，同时所需的电路复杂度更低，硅面积更小。本文报道的这款64通道8位信号处理器采用0.13μm标准CMOS工艺设计，占用的硅面积为113μm×110μm。它在1.8V电源电压下，主时钟频率为3.2MHz时运行。
