⚡ 本页包含 AI 生成的分析内容，仅供参考
本文提出了一种用于神经记录的斩波放大器，能够容忍高达80mVpp的差分模式和650mVpp的共模干扰，同时保持1.6GΩ的输入阻抗和2.8μW的低功耗，解决了闭环神经调控中刺激伪影导致前端饱和的问题。
Closed-loop neuromodulation with simultaneous stimulation and sensing is desired to administer therapy in patients suffering from drug-resistant neurological ailments. However, stimulation generates large artifacts at the recording sites, which saturate traditional front-ends. The common-mode (CM) artifact can be ~500mV, and the differential-mode (DM) artifact is 50 to 100mV. This work presents a neural recording chopper amplifier that can tolerate 80mVpp DM and 650mVpp CM artifacts in a signal band of 1Hz to 5kHz. To digitize a 2mVpp neural signal to 8b accompanied by an 80mVpp DM artifact requires a linearity of 80dB. Neural recording front-ends also need to function within a power budget of 3 to 5μW/ch, input-referred noise of 4 to 8μVrms, DC input impedance Zin>1GΩ and high-pass cutoff of 1Hz [1,2]. Prior work has addressed power and noise [26], but has low Zin and limited input signal range, making them incapable of
Hariprasad Chandrakumar, Dejan Marković
University of California, Los Angeles, CA