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Robustness is a major concern of wearable electroencephalogram (EEG) acquisition systems. It is often closely tied with variations of electrode to tissue interface (ETI), resulting in significant difficulties for following analog front end (AFE) circuitry design and signal processing. To realize a high-robust EEG system and relax the AFE requirements, adaptive ETI characterization and signal calibration...
This study proposes a flexible method to track and quantify the ac-coupled gain variations in electrode to tissue interface (ETI) of adhesive/reusable electrodes. Particularly, this study focuses on the effects of multiplicative motion artifacts (MMA) on ETIs and proposes a continuously monitoring technique to assess ETI multiplicative variations. The proposed method only requires one additional channel...
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