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The brain and human body has largely uncharacterized electrical properties. These properties vary by brain area and tissue type; thus, it is important to characterize the electrical properties of a specific area for a specific purpose. This analysis can be achieved by an impedance meter, which is useful for both for both EEG recording and intracranial recording. Standard impedance meters are expensive, use too few frequencies for analysis, and are difficult to use. Therefore, by using digital direct synthesis and off-the-shelf components, we will create a cost-efficient, portable impedance meter for rapid characterization of biological tissues.
Team Name: PEAKK
Team Mentor: Professor Ozdal Boyraz, Electrical Engineering
Team Members: Hiba Ajmal (EECS), Jordan Edmunds (EECS), Shayena Khandker (EECS), Gregory Krueper (EECS), Olga Plishko (EECS)