Abstract:<p>We designed and developed an EEG to help predict neural disorders. This project achieved both high accuracy and low cost with cost-effective components such as the AD622ANZ instrumentation amplifier and TL048x operational amplifier. Signal processing software and hardware filters were implemented. In addition, a machine learning approach was utilized to develop a binary seizure classifier. Seizure noise was simulated, and future work would revolve around collecting live data from epileptic patients. F… Show more
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