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Current EEG (electroencephalogram) systems used in clinical and diagnostic settings are often bulky, expensive, and require patients to remain in a controlled environment for extended periods. This limits their accessibility and practicality, especially for patients suffering from neurological conditions such as epilepsy who require continuous, long-term brain monitoring to detect abnormal brain activity and predict seizures. This project aims to develop a wearable, AI-integrated, portable EEG device that is compact, affordable, and capable of real-time brainwave monitoring with automated alerts.
Sheri Williams;Etienne Mfoumou
Springboard Atlantic Inc.
Engineering
Health and Related Sciences & Technology; Artificial Intelligence; Biotechnology
Nova Scotia Community College
Business Strategy Internship
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