The SIPPRE Group at the ECE Department, is seeking volunteers to participate in our innovative NeuroRock EEG study.
The Experience
Listen to carefully selected instrumental rock music through high-quality headphones
Wear Enophones, a comfortable and non-invasive EEG headset that feels similar to regular headphones
Share your emotional responses to different music styles
Total time commitment: Approximately 60 minutes
What to Expect
During this relaxing session, you’ll listen to various rock music selections while we record your brain’s natural responses. The Enophones provide a comfortable recording experience with minimal setup—no gels or extensive preparation required.
This research supports our groundbreaking NeuroRock Hackathon where EUNICE students will analyze how the brain processes emotional aspects of music.
How to Participate
Please contact Associate Professor Athanasios Koutras (koutras [AT] uop.gr) for scheduling or additional information.
All data will be anonymized and handled according to research ethics guidelines.
The SIPPRE Group is thrilled to announce our first-ever NeuroRock Hackathon, exclusively for EUNICE students enrolled in the “Decoding Life Signals: Innovations in Biomedical Engineering” course.
The Challenge
Teams will analyze EEG data recorded while participants experience emotional rock music. Your mission: develop algorithms to decode emotional states from brain activity and predict subjective experiences.
Key Information
Deadline: June 5, 2025
Format: Work in pairs to develop Python-based analysis
Experience Required: None! We provide starter code and guidance
This is your chance to apply classroom knowledge to real neuroscience data and explore the fascinating intersection of music, emotions, and brain activity.
Ready to Rock Your Brain?
Keep an eye on your course announcements for complete details, or contact Prof. Athanasios Koutras with questions.
For EUNICE students only. No prior EEG experience necessary.
Summer is the perfect time for experimentation and fine tuning of our Brain Computer Interface system. That’s why we arranged a complete two days session of recordings and playing around with our OpenBCI EEG system and a small Arduino controlled vehicle. Lab member Thodoris Pantazopoulos, Electrical and Computer Engineer student from the University of Patras who is responsible for the experiments, is shown in action on the following video controlling the vehicle using left and right imaginary movements. For the 8-channel EEG acquisition, OpenBCI is used to capture Thodoris’ brain activity. Data from the C1, C2, C3, C4, CP1, CP2, CP3, and CP4 EEG channels are captured wirelessly on the right laptop,streamed to the network using the LSL protocol, captured and processed by the laptop on the left. On this machine, data are classified into movements using a previously trained pattern recognition system and finally converted to commands that are being sent to the vehicle when it waits for directions. More details on the procedure will be published in short time, so stay tuned!
Would you like to join our experiments? Feel free to drop us a line at sippre-group [at] gmail.com or contact directly Dr. Athanasios Koutras at koutras [at] uop.gr to arrange a recording session!