From EEG to QEEG Brain Mapping
What Should You Evaluate
Before Choosing an EEG System?
Choosing an EEG system goes beyond channel count. Signal acquisition, input architecture, connectivity, electrode interface, software, and data access should be evaluated as one complete workflow.
Signal Quality Starts
with EEG Acquisition
Before comparing advanced features, examine how the EEG signal is acquired. ADC resolution, sampling rate, acquisition bandwidth, and input architecture influence the quality and usability of recorded EEG data.
Engineered for
More Than EEG
A flexible biopotential acquisition architecture can extend beyond EEG to additional physiological signals while preserving subtle voltage variations across recording conditions.
Flexible Acquisition,
Wherever You Record
Move between recording environments with wireless or wired connectivity, battery-powered operation, and a compact acquisition unit designed for practical EEG workflows.
Recording Is Only
the First Step
A complete EEG platform should support efficient signal review, recording management, channel visualization, and progression from acquisition toward quantitative analysis.
Signal Quality Begins
Before the Amplifier
The amplifier is only one part of the EEG signal chain. Electrode positioning, skin–electrode contact, reference and ground configuration, cap fit, and conductive gel all influence recording quality.
Turn Recorded EEG
Into Structured Information
After acquisition, EEG data can move through signal review, quantitative analysis, QEEG brain mapping, and structured reporting while remaining accessible for external research workflows.
NeuroGuide · Custom Research Software
Don't Evaluate an EEG Device
in Isolation
From electrode contact and signal acquisition to connectivity, analysis, data access, and reporting, every component contributes to the complete EEG workflow.