一种基于gm-ID方法的神经信号放大电路

• 作 者: 袁丰 张长春 徐跃 郭宇锋
• 机 构: 南京邮电大学 电子与光学工程学院,南京,210023;南京邮电大学 射频集成与微组装国家地方联合工程实验室,南京,210023
• 出 处: 微电子学
• 发表日期: 2018年2期
• 关键词: CMRR PSRR operational trans-conductance amplifier neural signal amplifier gm-ID

为探测幅值极小、分布频域很低的神经信号,基于gm-ID方法设计了一种低电压、低功耗跨导运算放大器.该运算放大器采用了带增益自举模块的AB类低电压伪差分放大结构.在此基础上,设计了电容反馈神经信号放大电路.仿真结果表明,神经信号放大电路在低电源电压、低功耗下具有较高的共模抑制比和电源抑制比.电路的各关键指标达到良好均衡,满足探测神经信号的需求.“,”Neural signals suffer from features of low amplitude and low frequency.A low power and low voltage operational trans-conductance amplifier (OTA) was presented on the basis of gm-ID methodology.The OTA consisted of a pseudo difference pair with the characteristic behavior of a class-AB circuit and a gain boost module.Furthermore,a capacitive feedback network neural signal amplifier was proposed on the basis of the aforementioned OTA.The simulation results showed that the neural signal amplifier achieved a high CMRR/PSRR,and reached a good trade-off between the key characteristics with low power supply and low power consumption.The conclusion indicated that the performances of the neural signal amplifier satisfied the requirements for sensing the neural signals.