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A Bootstrapped Pseudo Resistor by Reusing OTA-C Filter for Neural Signal Processing | IEEE Journals & Magazine | IEEE Xplore

A Bootstrapped Pseudo Resistor by Reusing OTA-C Filter for Neural Signal Processing


Abstract:

In integrated neural signal monitoring systems, pseudo resistor (PR) is widely used to form very large time constant filters, due to its large impedance within an accepta...Show More

Abstract:

In integrated neural signal monitoring systems, pseudo resistor (PR) is widely used to form very large time constant filters, due to its large impedance within an acceptable die area. However, its linearity (the dependency of the resistance to applied voltage) and impedance are limited by the nonlinear MOS transistors in weak inversion, and suffers from process, voltage and temperature (PVT) variations. In this brief, a PR bootstrapped by reusing the operational transconductance amplifier-capacitor (OTA-C) filter is presented, it substantially increases the impedance and linearity to dynamically support lower frequency neural signal applications. It has no need for extra bias scheme on the gate or bulk, which decreases the circuit complexity, die area and power consumption. The proposed circuit implemented in a 0.18- \mu \text{m} CMOS process occupies an area of 0.026 mm2, the impedance of the bootstrapped PR is approximately 94 G \Omega , and the high-pass cut-off frequency is reduced to 0.5 mHz.
Page(s): 714 - 718
Date of Publication: 04 August 2021

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