Electromagnetic Compatibility Modeling in Low-Noise Medical Sensor Interfaces
Bibliographic record
Abstract
Investigations on the electromagnetic behaviour of a low-power amplifier are led using the Extended-Integrated Circuit Emission Model (ICEM). This modeling approach is proposed on a mixed-signal (analog/digital) CMOS 0.18 μm circuit dedicated to neural signal recording. This ICEM allows coarse and fast studies of the electromagnetic compatibility of CMOS devices especially in characterizing the coupling phenomena that occurs at each building block inside the whole chip. ICEM simulations of power and ground bounces are more than 500 times faster than complete SPICE ones with a correct accuracy for first electromagnetic compatibility investigations. This quick modeling method allows for checking many different design or simulation configurations. For example, some simulation results show that substrate interactions and power/ground crosstalk increase the noise level of the low-noise amplifier, in particular in its low frequency domain.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".