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Wide panoramic view of an anesthesia monitoring station in a surgical suite, EEG electrode leads and waveform display screens visible in the foreground, cool clinical overhead lighting, no patients or clinicians present, stark and precise
Wide panoramic view of an anesthesia monitoring station in a surgical suite, EEG electrode leads and waveform display screens visible in the foreground, cool clinical overhead lighting, no patients or clinicians present, stark and precise
— EEG Pain Science

The Neural Basis of Measurable Pain

Pain produces distinct, reproducible cortical signatures. AGRI captures them continuously and translates them into a standardized clinical index.

Extreme close-up of EEG scalp electrodes attached to a patient's head during clinical monitoring, silver electrode contacts and connecting leads in sharp focus, clinical overhead lighting, no face visible, stark white clinical environment
Extreme close-up of EEG scalp electrodes attached to a patient's head during clinical monitoring, silver electrode contacts and connecting leads in sharp focus, clinical overhead lighting, no face visible, stark white clinical environment
/ The Pain Matrix

Cortical Signatures of Pain Intensity

A distributed network of cortical and subcortical regions — including the anterior cingulate, somatosensory cortex, and insula — activates in response to nociceptive input. These activations produce consistent, measurable EEG frequency patterns that correlate with pain intensity across subjects.

Unlike behavioral indicators, neural signatures cannot be suppressed or exaggerated. They reflect the underlying nociceptive state with objective fidelity.

Close-up of a clinical monitor screen showing a live EEG waveform readout with a bold numerical index score displayed in teal on a dark interface, positioned on a hospital monitoring cart, cool clinical lighting, no people present
Close-up of a clinical monitor screen showing a live EEG waveform readout with a bold numerical index score displayed in teal on a dark interface, positioned on a hospital monitoring cart, cool clinical lighting, no people present
+ Recurrent Indexing Algorithm

From EEG Stream to a Graded 0–100 Score

AGRI's recurrent neural architecture ingests continuous multi-channel EEG data, isolates pain-relevant spectral features across delta, theta, and gamma bands, and applies a validated weighting model to produce a single graded index — updated in real time, every second.

The result is a standardized score comparable across patients and sessions, enabling dosing decisions grounded in objective, continuous measurement rather than intermittent self-report.

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▸ Peer-Reviewed Validation

Sensitivity, Specificity, Reproducibility

Across controlled clinical trials, the AGRI index demonstrates statistically significant sensitivity to nociceptive changes and specificity against confounding arousal signals — with reproducibility that standard self-report scales cannot achieve.