一个高CMRR差异差异放大器,使用组合输入对进行神经信号记录
IEEE transactions on biomedical circuits and systems
|September 4, 2023
概括
本研究提出了一种新的差异差异放大器 (DDA) 设计,使用组合对称和互补输入对 (CIP) 来显著提高神经记录的常态拒绝比率 (CMRR). 新的放大器设计实现了高CMRR的低功耗,非常适合集成电路.
科学领域:
- 电气工程 电气工程
- 生物医学工程 生物医学工程
- 集成电路设计 集成电路设计
背景情况:
- 神经信号记录需要具有高常态拒绝比率 (CMRR) 的放大器,以有效地将弱神经信号与常态噪声隔离.
- 传统的放大器设计往往在实现足够的CMRR方面面临限制,特别是在多通道系统中,影响信号质量和诊断准确性.
- 对于植入式和可穿戴的神经记录设备而言,对低功耗,高性能模拟前端的需求至关重要.
研究的目的:
- 引入一种新的组合对称和互补输入对 (CIP) 差异差异放大器 (DDA) 架构.
- 为了提高多通道神经信号记录应用的总常态拒绝比率 (CMRR).
- 在低功耗集成电路中实现高输入阻抗,稳定的运行和高效的常态反 (CMFB).
主要方法:
- 拟议的CIP-DDA采用三对传导器输入对进行信号处理.
- 一个直流合的输入阶段为神经信号采集提供了高输入阻抗.
- 该设计是在0.18-μm CMOS技术中实现和模拟的,其中包含一个系统级的CMFB.
主要成果:
- CIP-DDA架构成功地将整体通用模式拒绝比率 (CMRR) 提高到平均103dB.
- 每个放大器通道都显示出大约3.6μW的低功耗.
- 输入对的并行连接不需要额外的电压头空间用于输入和输出阶段.
结论:
- 拟议的CIP-DDA是实现集成神经记录系统中高CMRR的可行解决方案.
- 该设计为神经数据采集的信号噪声比提供了显著的改进.
- 这种低功耗,高性能放大器非常适合在现代CMOS技术中实现先进的生物医学应用.
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