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Power Minimization in Neural Recording ΔΣ Modulators by Adaptive Back-Gate Voltage Tuning
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...
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Published in: | IEEE solid-state circuits letters 2023, Vol.6, p.145-148 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | 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 -[Formula Omitted]/channel at 7.2 -[Formula Omitted] 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. |
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ISSN: | 2573-9603 2573-9603 |
DOI: | 10.1109/LSSC.2023.3270243 |