Hardware for real-time EEG and other bioelectrical signals (WP2, WP3, WP5)

Neuroeconomics combines classical economics and neuroscience to deepen our understanding about the role played by human brain in economic decision-making. The main objective is to produce new hardware to collect the EEG and other electrical signals such as the EMG, ECG, and EOG. The ESR will focus on: (1) design and comfort from a user-centric perspective; (2) reducing size and power requirements; (3) increased signal quality and (4) improved wireless transmission. The ESR will also learn about working with standards, guidelines, and other framework conditions. ESR10 will be an engineer with a strong background in biomedical signal engineering and neuroscience.

Planned secondments: AAU (SD, M12-M14): eye-tracking systems and signals and applications for neuro-business; UPISA (EP, M18-M21): Biomedical systems and signals and applications for advertising; JKU (HP, M25-M27): Principles in electronic engineering.

Leonhard Schreiner


Leonhard Schreiner is from Austria. After finishing Higher Technical Institute Braunau am Inn in mechatronics, he joined the University of Applied Science in Vienna. He earned my bachelor´s degree in sports technology and my master´s degree in healthcare and rehabilitation technology.  He developed a BCI-controlled orthosis for neurorehabilitation of stroke patients during his master’s thesis. Over the last two years, he has worked for g.Tec Medical Engineering Spain S.L. in Barcelona for the BCI technology-based projects recoveriX and mindBEAGLE.

Besides research in the field of neuroscience, he is very much interested in prototyping and biomaterials.




“Hardware for real-time EEG and other bioelectrical signals (WP2, WP3, WP5)”


  • Creation of new electrodes, caps, mountings, and amplifiers to collect the EEG and other biosignals
  • Testing and revision of these devices
  • Evaluation of these devices in real-world settings in tandem with other imaging tools