Webinar: EEG Preprocessing – Setting up your data for optimal analysis

In the Brain Products Academy webinar “EEG Preprocessing – Setting up your data for optimal analysis” we will approach the concept of EEG preprocessing as a series of steps that prepare and optimize data for analysis, reduce noise, and enhance the signal of interest.

What will you learn?

You will learn about different preprocessing techniques and their implementation in BrainVision Analyzer 2, like re-referencing, interpolation and filtering among others. In particular, we will construct a preprocessing pipeline while highlighting the rationale for choosing certain steps and their parameters. We will also address the effects of the sequence of steps on the data.

Who is this webinar for?

This webinar is intended for researchers who are new or have some experience in EEG analysis.

We recommend revising the introductory webinar to BrainVision Analyzer 2 before attending this webinar.

Why attend?

The webinar will be presented by Fernando Cross-Villasana, a scientific consultant in our Scientific Support team and Analyzer 2 expert.

We will present background information on various methods, and you will learn how to perform the steps during instructive practical demonstrations.

Attendance to this webinar is free of charge, so make sure one of the available spots is yours.

When is the webinar?

For your convenience we are offering 2 different time slots for this webinar. Please note that the content of each time slot is the same.

All times refer to Central European Time (CET) zone.

  • Time slot 1: Tuesday, December 05, 2023, from 9:00 to 10:30 (CET)
  • Time slot 2: Wednesday, December 06, 2023, from 17:00 to 18:30 (CET)

Please make sure to check your time difference to CET before signing up for one of the time slots.

Discover more about the Brain Products Academy. Then, sign up to our dedicated mailing list to find out about future webinars and workshops first.

The event is finished.

Hourly Schedule

Tuesday, December 05, 2023

9:00 - 10:30 (CET)
Time slot 1

Wednesday, December 06, 2023

17:00 - 18:30 (CET)
Time slot 2


Dec 05 - 06, 2023

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