A low power independent component analysis processor in 90nm CMOS technology for portable EEG signal processing systems
Chiu-Kuo Chen, Yiyuan Wang, Zong-Han Hsieh, Ericson Chua, Wai-Chi Fang, Tzyy‐Ping Jung · 2011
This paper presents a low-power VLSI implementation of a 4-channel independent component analysis (ICA) processor for portable EEG signal processing applications. The low-power scheme employed for this ICA chip is based on power gating and clock gating by utilizing Cadence common power flow (CPF) low-power methodology and also according to the characteristics of ICA training behavior using different training window sizes. The proposed low power ICA processor can separate EEG and mixed EEG-like super-Gaussian signals in real time. The chip can be operated at up to 60MHz working frequency and a maximum sampling rate of 9.394 KHz for EEG signals. The power consumption of this chip is 0.690 mW during training under the condition of 0.9V supply voltage and 10 MHz operating frequency using UMC 90nm High-Vt CMOS technology. The total chip area is 1230 × 1230 μm1.