EEG data visualization with 3D Mesh Model.

This example demonstrates real-time visualization of brain activity and EEG data.

It involves 10 sensors, each recording 1,000 points per second. The brain is colored by interpolating between sensor values.
Each sensor receives data from raw measurements, smoothed using a 100 ms running average.

For more information on dynamic mesh coloring, you can refer to our dynamic mesh model example

To further explore this use case, you can calculate the power spectral density for each raw sensor feed.
However, this process can be resource-intensive and is typically not suitable for frontend execution. For a similar example from our .NET product line, visit [https://lightningchart.com/blog/eeg-chart/].