Newert

Biosignal Measurement Board

Planned 2026

From eight-channel EEG measurement to real-time analysis

  • EEG
  • VitalTrack EEG
VitalTrack EEG is a measurement solution for monitoring and recording eight-channel EEG signals in real time. Review channel waveforms, band power and scalp topography in one application, then save the measurement results as CSV.
Product viewNewert / R&D
VitalTrack EEG board

VitalTrack EEG

Confirmed specifications

8ch
Simultaneous channels
Band power
Per-band strength
CSV
Export format

* These three are confirmed. Sampling rate, battery life and the rest will be filled in once settled.

VitalTrack EEG hardware

See the eight-channel measurement design from both sides

Signals enter through the eight-channel electrode interface, pass through the board's signal path, and reach the measurement application through the main controller and communication module.

FRONT

BACK

Back and front views of the actual VitalTrack EEG development board.
  • Eight-channel electrode input
  • Per-channel signal path
  • Main controller
  • Bluetooth · USB-C

Measurement setup

Connect the device, then map all eight electrode sites

Before recording, connect a nearby device and assign an electrode site to each physical channel. Confirm the connection and channel map, then continue to live measurement.

STEP 01

Find and connect a nearby EEG device

Scan for a nearby VitalTrack EEG, confirm the connection, channel count and incoming data, then continue to measurement setup.

STEP 02

Map eight channels to electrode sites

Assign Fp1, Fp2, C3, C4, P3, P4, O1 and O2 to the physical channels using the international 10–20 placement system.

Live monitoring

Monitor all eight waveforms in real time

See each channel alongside receive rate, elapsed time and data status. Adjust the time window, amplitude, visible channels and display filter for the measurement environment.

  • Check elapsed time and incoming data status
  • Adjust the time window and waveform scale
  • Choose visible channels and display filters

EEG analysis

The raw signal stays; band power comes with it

EEG is read by how strongly each band comes through. That calculation happens on the board, so you do not have to build a frequency analysis after the fact. The raw signal is still there, so recomputing it yourself remains open.

CHANNEL BAND POWER

Compare frequency-band strength by channel

Review Delta, Theta, Alpha, Beta and Gamma band power as relative percentages or absolute strength to compare the frequency profile of each channel.

TOPOGRAPHY & PSD

See spatial distribution and frequency composition together

View the spatial distribution of the selected band on a scalp map and compare it with a channel-by-frequency PSD heatmap.

  • Delta

    0.5–4 Hz

    Strongest during deep sleep.

  • Theta

    4–8 Hz

    Rises with drowsiness and memory work.

  • Alpha

    8–13 Hz

    Clearest at rest with the eyes closed.

  • Beta

    13–30 Hz

    Rises with alert concentration.

  • Gamma

    30 Hz–

    Appears when several regions work at once.

Screens show an application in development. Layout and functionality may change before the official release.

Getting the data out

A measurement leaves you a set of files

Raw signal

One column per channel, all eight. Values before filtering, so your existing handling still applies.

Per-band strength

Delta through gamma, five bands per channel, computed alongside. No separate frequency analysis to bolt on.

CSV download

Opens in Excel, Python or MATLAB alike. Your analysis code does not have to change.

Items to confirm before release

We will publish the following details, which are essential for adoption decisions, as validation and certification are completed.

  • Sampling rate
  • Continuous runtime
  • SDK and integration
  • Supported OS
  • Certification and launch

We will tell you first when the launch is confirmed

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