Power Minimization in Neural Recording ΔΣ Modulators by Adaptive Back-Gate Voltage Tuning
IEEE Solid-State Circuits Letters(2023)
Abstract
This letter presents a scalable technique to reduce the power of the analog input stage in neural recording front-ends in Globalfoundries 22 -nm FDSOI. The back-gate voltages are adapted to reduce the threshold voltage and thus allow supply voltage reduction. This adaption increases PVT stability of subthreshold circuits. A comparison to a conventional delta–sigma ADC is drawn and the minimum power point is measured, resulting in 0.7 -
$\mu \text{W}$
/channel at 7.2 -
$\mu \text{V}$
input-referred noise. Additionally, the transition to smaller technologies promises low-power consumption in the digital domain, by allowing smaller supply voltage and higher integration density.
MoreTranslated text
Key words
neural recording δς modulators,voltage,back-gate
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined