A micropower support vector machine based seizure detection architecture for embedded medical devices
Implantable neurostimulators for the treatment of epilepsy that are capable of sensing seizures can enable novel therapeutic applications. However, detecting seizures is challenging due to significant intracranial EEG signal variability across patients. In this paper, we illustrate how a machine-lea...
Main Authors: | Shoeb, Ali H. (Contributor), Carlson, Dave (Author), Panken, Eric (Author), Denison, Timothy (Author) |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor) |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2011-03-10T20:57:40Z.
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Subjects: | |
Online Access: | Get fulltext |
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