An Active Electrode IC with Embedded Analog CMRR Enhancement for Interference- and Gain-Mismatch-Resilient EEG Recording
Bibliographic record
Abstract
We report the design, implementation, and experimental characterization of an EEG recording active electrode (AE) architecture that features analog in-AE common-mode rejection ratio (CMRR) improvement. Detailed system-level architecture and circuit implementation of the proposed AE is presented following a brief analytical and comparative review of the effect of gain and electrode impedance mismatch on CMRR degradation in state-of-the-art AE-based wearable EEG recording systems. An active electrode integrated circuit (IC) based on the proposed CMRR-enhancing architecture is fabricated in a 180nm CMOS technology and is experimentally characterized. Our measurement results show a CMRR of 82.2dB (at 60Hz), amplification voltage gain of 52.8dB, a bandwidth of 0.2-400Hz, ±350mv input DC offset tolerance, and 0.66µv integrated input referred noise (0.5-100Hz), while consuming 13.5µW per channel. An EEG recording has been performed using the developed AE IC connected to active electrodes placed on the forehead.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".