The goal of this project is to design a device with the capabilities of tracking and detecting brain activity to identify oncoming seizures. Our team would like to positively impact the lives of people that experience seizures to make their day-to-day life unconstrained. We plan to accomplish them by designing a device that will accurately detect seizures before they occur which would trigger an audible warning. This warning would alert the individual with the seizure and surrounding individuals that an epileptic event is about to occur so that proper safety precautions and actions can be taken. The device will be created using a series of EEG electrodes, Arduino microprocessors, and a speaker among other components.
Kelly (she/they) grew up outside Saint Louis. They're about to complete a Biomedical Engineering major with minors in Engineering Math and Project Mangement. As of now, she have a job lined up with Labcorp in Madison, Wisconsin.
William (he/him/his) is majoring in biomedical engineering with a minor in leadership and change management. His hometown is Rockford IL. Upon graduation, he will be working as an application and program analyst at Deloitte. He will also be attending WashU part time to get his masters in engineering management.
Maria Magdalena Pereira Lopez (She/Her/Hers) is an international (Spanish) senior majoring in biomedical engineering student with a minor in computer science at Saint Louis University. She is planning on working in the development of medical devices and products once she graduate. She am passionate about developing innovative solutions in the biotech and pharma field.
Rahul Ravichandran(he/him/his) is from Ballwin, MO. He majored in bioelectronics with a biomedial minor. He will be working in Denver after graduation at Wold Engineering. He plays volleyball and likes to work out.
Dr. Gai greatly helped us complete this project and navigate the various aspects of the EEG data collection. She was instrumental in showing up how to analyze EEG data and learn how to collect our own data. We really appreciate all the time and effort she put into working with us thoughout this process. We are excited for her to see our final project."