RELIABLE LABEL EFFICIENT LEARNING OF EEG ACQUISITION USING ELECTRODES

Active Electrodes with in built read out circuitry in progressive increase are being executed in wearable healthcare and lifestyle applications due to AE’s robustness to environmental interference. An AE locally amplifies and buffers μV-level EEG signals before driving any cabling. The low output impedance of an AE alleviate cable motion artifacts thus enabling the use of high-impedance dry electrodes for greater user comfort. However, developing a wearable EEG system, with medical grade signal quality on noise, electrode offset tolerance, common-mode rejection ratio (CMRR), input impedance and power dissipation, remains a challenging task. This paper reviews state-of-the-art bio-amplifier architectures and low-power analog circuits design techniques intended for wearable EEG acquisition, with a special focus on AE system interfaced with dry electrodes.