DeepCLEAN-EEG: Using deep learning to clean EEG signals for more reliable brain-controlled technologies
Summary
We are recruiting neurotypical adults (18 years and older) for a research study on brain-computer interfaces. This research will help us develop new technologies that can help people with physical disabilities communicate, interact with their environment, and participate in everyday activities. In this study, we will measure your brain activity while you perform different movements like blinking, tilting your head, and making facial expressions.
Call to action
Do you want to help us improve brain-controlled technologies for people with severe motor impairments? Consider participating in our research study where we will examine how movements affect the quality of brain activity recordings and use machine learning to reduce these effects.
Who can participate
We are looking for individuals with the following profile:
- Aged 18 and older.
- Can understand and follow instructions in English.
- Have normal or corrected-to-normal (i.e., wear glasses/contacts) vision.
- Have no history of brain injury or concussion.
- Have no history of neurological (e.g., seizures) or psychological conditions.
- Have no history of allergy to electrode gel.
Funding agency
PRISM Lab, Bloorview Research Institute
Natural Sciences and Engineering Research Council of Canada (NSERC)
What's involved
You will attend one 90-minute session at Holland Bloorview Kids Rehabilitation Hospital. During the session, you will wear a device that measures your brain activity, which involves putting a cap with sensors on your head. You will also wear sensors on your face that will measure your eye and muscle movements. We will put a gel on the sensors that helps us measure your brain, eye, and muscle activity better. This gel can be washed off with shampoo/soap and water after the session. These sensors are completely safe and painless.
While you wear the sensors, you will act out different movements like blinking, smiling, or tilting your head. You will alternate between doing those movements and sitting still for several seconds. Breaks will be provided throughout the session, and the entire recording period will last about 60 minutes.
You may experience some discomfort, tiredness, or frustration from wearing the sensors, sitting still, and repeating the tasks throughout the session, but this will go away after the session is over. You will receive a gift card and optional volunteer hours at the end of the session as a token of our appreciation.
Deadline
Interested in participating
If you are interested in participating in this study or have additional questions, please contact Erica Floreani at efloreani@hollandbloorview.ca or at 416-425-6220 extension 3168.
Additional information
Version 1 (19/Feb/2024)
REB#0693 - DeepCLEAN-EEG: Characterization and Deep Learning for Enhanced Artefact Neutralization of EEG Signals
Deadline: We are recruiting until August 2025 or until 200 participants have been recruited.
