2013 • Physical and LIfe Sciences
Electric Field Encephalography Sensors for Brain Signal Monitoring
Lead Presenter: Chris Hughes
Our research focuses on developing an EFEG» (electric field encephalography) device that can measure brainwaves and record data with higher resolution and less noise than existing EEG (electroencephalography) devices. Current EEG modules measure the neural oscillations using electrodes that are in contact with the scalp. We are currently researching in EEG technology, and will use the research to improve EFEG. A high resolution EFEG device can be used to first create a detailed image of the electric potentials on the scalp and then use software to localize the source of the brain activity. EFEG offers higher spatial and temporal resolution than existing EEG technologies. The electrical bio-signals can then be sent wirelessly to any device with Bluetooth or WiFi capabilities, such as a laptop or smart phone, and eventually accessible anywhere through the Cloud. EFEG has useful applications in the medical and entertainment industry. In the medical field, high resolution imaging can provide higher precision localization of neurological diseases, such as epilepsy. In the entertainment industry, EFEG can be used for precise neurofeedback and control of virtual worlds.