A Chopped Neural Front-End Featuring Input Impedance Boosting With Suppressed Offset-Induced Charge Transfer
نویسندگان
چکیده
Modern neuromodulation systems typically provide a large number of recording and stimulation channels, which reduces the available power area budget per channel. To maintain necessary input-referred noise performance despite growingly rigorous constraints, chopped neural front-ends are often modality choice, as chopper-stabilization allows to simultaneously improve (1/f) consumption. The resulting issue drastically reduced input impedance has been addressed in prior art by boosters based on voltage buffers at input. These precharge capacitors, reduce charge drawn from electrodes effectively boost impedance. Offset these directly translates into charge-transfer electrodes, can accelerate electrode aging. tackle this issue, buffer with ultra-low time-averaged offset is proposed, cancels periodic reconfiguration, thereby minimizing unintended transfer. This article explains background circuit design detail presents measurement results prototype implemented 180 nm HV CMOS process. measurements confirm that signal-independent, induced transfer occurs be mitigated presented reconfiguration without adversely affecting operation booster. recorder front-end achieves state an consumption ${0.036}\,{{\rm {mm}}^2}$ , referred notation="LaTeX">${1.32}\,\mu {\rm {V}}_{\text{rms}}$ (1 200 Hz) notation="LaTeX">${3.36}\,\mu (0.2 10 kHz), notation="LaTeX">${13.7}\,{\mu W}}$ 1.8 V supply, well CMRR PSRR notation="LaTeX">$\ge$ 83 dB 50 Hz.
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ژورنال
عنوان ژورنال: IEEE Transactions on Biomedical Circuits and Systems
سال: 2021
ISSN: ['1932-4545', '1940-9990']
DOI: https://doi.org/10.1109/tbcas.2021.3080398