0.36 μW/channel capacitively-coupled chopper instrumentation amplifier in EEG recording wearable devices for compressed sensing framework

Abstract

Abstract We evaluated the effectiveness of a low-current-consumption amplifier for a compressed-sensing (CS) framework in wearable electroencephalography (EEG) recording devices. The amplifier uses a capacitively coupled chopper instrumentation amplifier (CCIA) architecture which is often used for low-noise amplifier (LNA) to achieve low consumption and low-noise characteristics. According to measurements of the designed CCIA, the power consumption was 0.36 μW/channel, and the input referred noise (IRN) was 4.47 μVrms. The measured IRN and simulations were used to confirm the effect of CCIA noise on the CS-based EEG measurement framework. The difference in the normalized mean squared error at CR = 4 to the uncompressed conditions could be reduced to 0.008. The findings show that even with the LNA specialized for low power consumption, a slight signal degradation is observed when the compression ratio is increased up to 4 in the CS framework by utilizing the sparsity of EEG in the frequency domain.