
Neuro Monitoring · Hardware + AI
A next-generation intraoperative neuromonitoring stack — wireless multi-modality hardware fused with deep-learning signal AI. Fewer false alarms, earlier injury detection, and one neurophysiology cockpit shared across OR, ICU and remote supervisor.
−72%
False-positive alerts
3–6 min
Earlier injury warning
1 : 4
Remote supervision ratio
<60 s
Signed report at close
01 · Hardware
Purpose-built for neuro and spine procedures. Every component is designed to survive electrosurgery, fit under sterile drapes, and capture clean signal even in the noisiest hybrid OR.

Battery-powered, sterile-drape-friendly amplifier with low-noise differential inputs and on-board impedance check — eliminates cable clutter on the OR table.
64 ch · 24-bit · ≤0.5 µV noise · 8 h battery
Synchronized transcranial MEP, peripheral SSEP, train-of-four and direct cortical stimulation in a single, foot-pedal controlled unit.
TES · TCS · SSEP · TOF · DCS
Galvanically isolated optical link to the cart removes 50/60 Hz mains noise and electrosurgery interference at the source.
Optical isolation · ESU-tolerant
GPU-accelerated cart runs signal AI locally — no cloud round-trip, sub-second alerts even when network drops.
NVIDIA Jetson-class · offline-first
Single-use subdermal needle and corkscrew electrodes with RFID tagging — auto-populates montage and tracks usage.
RFID · sterile single-use
Dual 32" surgical-grade displays with sterile foot-pedal and voice control. Mirrors to navigation, microscope and Cortex command center.
4K · DICOM-calibrated

02 · AI Software
The Metasurgeon neuromonitoring AI runs on the cart and in the cloud. It learns each patient's baseline, suppresses OR noise, and surfaces only the changes that matter — with full traceability for medico-legal review.
−72% false alarms
Deep-learning filter trained on >1M OR signal-seconds removes ESU bursts, 50/60 Hz, movement and pulse artifact without flattening the trace.
Alerts 3–6 min earlier
Per-channel baseline modelling flags amplitude drop >50% or latency shift >10% within one stimulation cycle — surgeon-tuned thresholds per procedure.
qEEG every 2 s
Real-time quantitative EEG: BSR, alpha-delta ratio, ictal pattern detection. Closes the loop with anaesthesia for titrated burst-suppression.
CN VII / V / X / XII
Auto-classifies free-run EMG bursts (A-train, neurotonic, spike) and overlays cranial nerve risk zones on the navigation view.
15–30 min lead-time
Forecasts intracranial hypertension 15–30 minutes ahead using ICP waveform morphology, CPP and PRx — a true neuro early-warning score.
Report in <60 s
Generates a signed neurophysiology report with annotated traces, alert timeline, and surgeon acknowledgements — billing- and audit-ready.
03 · How it enhances existing IONM
Bridges to Cadwell, NIM, NuVasive, Inomed and Nicolet via standard 25-pin DSUB / LEMO breakouts. Existing electrodes and stimulators keep working.
One neurophysiologist safely covers 4–6 ORs through low-latency streaming, surgeon chat, and AI triage on the supervisor's queue.
Streams events to navigation, microscope overlays, and anaesthesia — and writes signed events back into Cortex NeuroOS and the EMR.
Integrates with
Pilot the platform in your OR alongside your current IONM provider — no rip-and-replace. We deploy in two weeks and ride along on your next ten cases.