← 返回 JSSC 论文列表JSSC 2008第9期Data Converters0.35μmNeural Interface
Design Optimization for Integrated Neural
提出一种优化集成神经记录系统设计的方法,重点考虑功耗和芯片面积。
0.35μm CMOS, 1.65V, 5.3mW
神经记录系统功耗优化芯片面积ADC设计前置放大器
▸考虑电极噪声确定ADC分辨率以避免过度设计
▸数学推导前置放大器的最佳跨导和增益以最小化功耗-面积积
▸研究多路复用比例对系统功耗和芯片面积的权衡
Abstract
Power and chip area are the most important param- eters in designing a neural recording system in vivo. This paper reports a design methodology for an optimized integrated neural recording system. Electrode noise is considered in determining the ADC’s resolution to prevent over-design of the ADC, which leads to unnecessary power consumption and chip area. The optimal transconductance and gain of the pre-amplifiers, which minimizes the power–area product of the amplifier, are mathematically derived. A numerical example using actual circuit parameters is shown to demonstrate the design methodology. A tradeoff between the power consumption of the system and the chip area in terms of the multiplexing ratio is investigated and the optimal number of channels per ADC is selected to achieve the minimum power–area product for the entire system. Following the proposed design methodology, a chip has been designed in 0.35 m CMOS process, with the multiplexing ratio of 16:1, resulting in total chip area of 2.5 mm 2.0 mm and power consumption of 5.3 mW from 1.65 V.