HBCI- Functional near infrared spectroscopy and electroencephalography visual stimulus experiment in virtual reality

Introduction

We aim for a passive brain computer interface (BCI) using functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) in order to study event related hemodynamic responses. Herein, fNIRS measures local concentration changes of oxygenated and deoxygenated hemoglobin, and EEG measures the visual event related potentials.

Aim & Research Methods

• Design an fNIRS-EEG experiment
• Implement and record fNIRS-EEG
• Pre-Process and analyze fNIRS/EEG data
• compare your results with published literature to provide suggestions for upcoming measurements.
• visualize your findings by proper indicating variables and graphs.
•  Applying different feature extraction and classification approaches.

You will be introduced in an interdisciplinary working environment and will learn the following techniques:

(i)     fNIRS- and EEG- devices and their measurement routine

(ii)    different pre-processing algorithms

Requirements

1. dedication and motivation to work on an interdisciplinary research topic self-reliantly
2. excellent analytical and experimental skills
3. (experience in unity)
4. experience in programming software, such as Python or/and Matlab, C#
5. (experience in EEG and fNIRS toolboxes such as EEGlab or fieldtrip)

Possible starting date & further information

Potential starting date is now. For further details and application contact George Al Boustani (George.al-boustani@tum.de)

Additional information