Low power switched-resistor band-pass filter for neural recording channels in 130nm CMOS

Abstract

In this work, we present a low-power 2nd order band-pass filter for neural recording applications. The central frequency of the passband is set to 375Hz and the quality factor to 5 to properly process the neural signals related to the onset of epileptic seizure, and to strongly attenuate all the out of band biological signals and electrical disturbances. The biquad filter is based on a fully differential Tow Thomas architecture in which high-valued resistors are implemented through switched high-resistivity polysilicon resistors. A supply voltage as low as 0.8V and MOS transistors operating in the sub-threshold region are exploited to achieve a power consumption as low as 170nW, when driving a 1pF load capacitance. The filter exhibits a tuning range of the resonance frequency from 200Hz to 400Hz, and an area footprint of only 0.021 mm2. Very low power consumption and area occupation are key specifications for integrated, multiple-sensors, neural recording systems.

Keywords

• Biomedical engineering
• Electrical engineering
• Neuroscience
• Signal processing
• Wireless network
• Very-large-scale integration