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JSSC 2011第6期Medical & BioBiosignal

A6 0p W g C Continuous Wavelet Transform Circuit for Portable EEG Systems Alexander J. Casson ,A s s o c i a t eM e m b e r ,I E E E

本文提出了一种用于便携式脑电图系统的低功耗连续小波变换电路。
1V, 1-70 Hz带宽, 43 dB动态范围, 60 pW功耗
连续小波变换低功耗脑电图带通滤波器弱反型区
创新点1:深度弱反型区偏置技术 - 通过将跨导晶体管偏置在深度弱反型区域,显著降低功耗至60 pW,同时保持43 dB的动态范围,解决了低功耗与高动态范围的矛盾。
创新点2:低电压操作设计 - 采用1V电源电压的7阶g C滤波器实现连续小波变换,适用于便携式EEG系统,降低了系统整体功耗和复杂度。
创新点3:集成化设计方法 - 将应用需求、CWT理论、带通滤波器设计理论和低跨导跨导器设计紧密结合,优化了系统性能,使其在性能指标上优于现有所有带通滤波器。
创新点4:动态范围与功耗优化 - 通过拓扑层面的补偿技术,克服了低电流偏置带来的失配和带宽减少问题,实现了43 dB动态范围和超低功耗的平衡。
Abstract
This paper presents a low power, low voltage and low frequency bandpass filter implementation of a continuous wavelet transform (CWT) for use with physiological signals in the elec- troencephalogram (EEG) range (1–150 V , 1–70 Hz bandwidth). Experimental results are presented for a 1 V , 7th order g C filter based CWT with filter center frequencies ranging from 1 to 64 Hz. Low power and low frequency ope ration is achieved by biasing the transconductor transistors at low current levels in the deep weak inversion region. The resulting increased mismatch and reduced bandwidth are compensated for at the topology level. The filter has a 43 dB dynamic range and a 60 pW power consumption. This power consumption is thre e orders of magnitude lower than existing CWT implementations and assessed via a suitable figure of merit the performance is better than all considered bandpass filters. The improvement in the sta te-of-the-art originates from the close integration of the application requirements, CWT theory, bandpass filter design theory, and low transconductance transcon- ductor design. These topics are described in detail.