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Learn MoreThe aim of the internship is for the intern to take up the challenge of detecting and removing noise from brain signals that are recorded using electroencephalogram (EEG). The noise that is of interest in the project is mainly caused by the subject chewing and walking. These noises are found to have caused the inability to have a high accuracy in performing seizure detection using EEG. Machine learning-based approaches are to be taken in the attempt to characterize these noises and subsequently eliminate it from the recorded brain signal. The success of this project is a crucial accomplishment for the partner organization, Avertus Inc, as the organization strives for the ability to provide an accurate seizure detection technology.
Julie Audet
Kevin Ardian
University of Toronto
Engineering - biomedical
Medical devices
Accelerate
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