A machine learning toolbox for the development of personalized epileptic seizure detection algorithms
Epilepsy is a chronic neurological disorder affecting around 50 million people worldwide. It is characterized by the occurrence of seizures; a transient clinical event caused by synchronous and/or abnormal and excessive neuronal activity in the brain. This thesis presents a novel machine learning to...
Main Author: | Saulnier-Comte, Guillaume |
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Other Authors: | Joelle Pineau (Internal/Supervisor) |
Format: | Others |
Language: | en |
Published: |
McGill University
2013
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Subjects: | |
Online Access: | http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=119550 |
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