P01 : Anomaly Detection and Advanced Time Series Forecasting for Cortical Moderation of ALS Patients

Students Kenneth Zhang
School HWDSB - Ancaster High - Ancaster
Level Senior 11/12 - Grade 11
Group Group 7 - Engineering and Computing III
Abstract This project intends to use recurrent neural networks, and the intensive development of different neural network layers, to serve as a potential method of moderation and assistive technology for the treatment of ALS (Amyotrophic lateral sclerosis) patients. Using the extensive development of neural networks and the flexibility of their applications, the intended outcome is to provide a more affordable, efficient, and effective alternative to moderating and potentially treating ALS patients.
Project Video Video Link