Technical Aspects of Neurophysiological Monitoring
Bibliographic record
Abstract
An electroencephalogram (EEG) reflects the summation of electrical activity arising from excitatory and inhibitory post-synaptic potentials of pyramidal neurons. EEG electrodes are traditionally placed on the scalp according to the International 10–20 system of electrode placement to reproducibly record cortical electrical activity. There are a number of different montages that may be used to best analyze an EEG, and allow for interpretation of the spatial distribution and localization of the EEG activity across the cortex. Neonates may require a reduced montage. Raw EEG data remain the gold standard of neurophysiological monitoring; however, reduced-montage and quantitative EEG techniques have allowed providers, particularly in the neonatal and pediatric intensive care units, to have supplementary data to interpret, in real time, at the patient’s bedside or via remote access. This chapter reviews the technical aspects of neurophysiological monitoring, including the practice and underlying principles of initiating, recording, displaying, and interpreting EEG. Quantitative trends, including CDSA and aEEG, are included.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.027 | 0.036 |
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 source (direct Gemma or distilled Codex), 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".