⚡ 本页包含 AI 生成的分析内容,仅供参考
该论文提出了一种用于闭环神经记录的连续时间ΔΣ调制器,采用Gm输入结构,实现了300mVpp的线性输入范围,能够处理DC电极偏移和大刺激伪影。在6.5µW功耗下达到10kHz带宽和80.4dB SNDR,避免了传统AC耦合LNA所需的大电容和面积开销。
Kwandong University International St. Mary’s Hospital, Incheon, Korea 1 2 Closed-loop neural recording requires a front-end with a wide DR to record small neural signals without distortion in the presence of a DC electrode offset (~50mV) and a large stimulation artifact (~200mVpp). To remove DC offset, a conventional architecture uses an AC-coupled LNA and a subsequent ADC [1]. However, to realize a small HPF cut-off frequency (<1Hz), the LNA requires a large input capacitor, resulting in a reduced input impedance and an increased area. Additionally, the LNA is prone to be saturated by large stimulation transients. To address these issues, direct digitization for neural recording is increasingly popular [2-5] and offers great potential for reducing area and power consumption
Changuk Lee1, Taejune Jeon1, MoonHyung Jang1, Sanggeon Park2,3,4,
Yeowool Huh3,4, Youngcheol Chae1 Yonsei University, Seoul, Korea University of Science and Technology, Daejeon, Korea 3 Catholic Kwandong University, Gangneung, Korea 4 Catholic