Workshop 1, 2019

Advanced EEG Signal Processing: a hands-on introduction to Fourier and Wavelet-based analysis

Date: Wednesday, November 20th, 2019. 9:00 to 17:30

Overview
The EEG signal is often used within the bioinformatics field as it provides a large amount of information on human tasks and underlying neural activities in the brain. In order to successfully and efficiently analyze the acquired EEG signals, a number of analyses can be performed, depending on the scientific objectives and tasks performed. During this workshop, our aim will be to deliver lectures and group-formatted exercises that provide the participants with a comprehensive understanding of the spectral analysis methods Fast Fourier Transformations (FFT) and Wavelet Analysis. Participants will also be briefly guided through a variety of topics such as ERP pre-processing and ocular ICA.

During the group exercises, we will make use of Brain Vision Analyzer 2.0, a user-friendly and visual software toolkit that enables participants to perform a variety of EEG signal analysis. Additionally, we will prepare MATLAB code handouts in order to support participants who prefer working with programming software. Group exercises will be performed in groups of ~ 7 participants, guided by a workshop organiser.

Software/applications:
Brain Vision Analyzer 2
MATLAB®

Venue: TBC

Presenters:
Daniel Feuerriegel University of Melbourne
Evelien Lageweg, Symbiotic Devices
Agnieszka Iwasiw, Symbiotic Devices
Eduardo Bellomo, Brain Products

Preliminary outline

Lecture

Signals
Sinus functions
EEG signals

Lecture

A to D converting
Sampling
Resolution
Nyquist

Lecture

Signals over time & signals over frequency
Introduction to spectral analysis

Lecture

Introduction to Fourier Series
Analogue mathematics

Practice exercise

Exercises with Fourier Analysis

Lecture

Fast Fourier Transformation (FFT)

Group Hackathon

FFT with BVA2.0

Lecture

Introduction to Wavelets

Lecture

Discrete Wavelet Transform (DWT)

Group Hackathon

DWT with BVA2.0

Lecture

Similarities and differences between FFT and Wavelets

Lecture

Noise, filtering and ICA ocular removal

Group Hackathon

Pre-processing practice with BVA2.0

Social Event

Workshop social event
Venue to be advised
(drinks and snacks provided)
Sponsored Symbiotic Devices

Limited participants: 35

Level: Masters, PhD, post-doc

Field:
Psychology
Neuropsychology
Neuroscience
Neuro-engineering