Neuroengineering & BCIs Research Infrastructure
Welcome to the Documentation and Training Portal of the Neuroengineering & Brain–Computer Interfaces (BCI) Research Infrastructure at the University of Patras.
Our Research Infrastructure provides a shared environment for experimental research in human–computer interaction, neurotechnology, and biopsychophysiological signal acqusition and analysis.
Its mission is to enable researchers, students, and collaborators to explore the connections between brain activity, physiological responses, and human behavior through cutting-edge sensing and data-driven experimentation.
The infrastructure supports studies ranging from basic signal acquisition and cognitive neuroscience to applied domains such as accessible technologies, neuroadaptive interfaces, and human-AI collaboration. It forms part of a broader ecosystem at the University of Patras and maintains collaborations with national and international research institutions.
Documentation and Training Material
The primary goal of this website is to bring together essential resources that introduce and guide users through the proper use of the equipment available within the infrastructure. It serves as both a knowledge base and a training hub for researchers, students, and collaborators interested in neuroengineering and physiological signal acquisition.
The portal also provides introductory materials and external references on a variety of sensing and measurement techniques such as Electroencephalography (EEG), functional Near-Infrared Spectroscopy (fNIRS), eye tracking, and other physiological data collection methods.
The documentation aims to help new users:
- Understand the theoretical principles behind each modality.
- Learn how to prepare and conduct experiments safely and effectively.
- Gain familiarity with data acquisition, synchronization, and preprocessing pipelines.
- Explore example use cases and experimental setups within the lab.
This website is continuously updated as the infrastructure evolves, with the intent of supporting a growing community of researchers who wish to explore the intersection of neuroengineering, human–computer interaction and brain-sensing technologies.
