Automatic Artifact Removal from Electroencephalogram Data Based on A Priori Artifact Information
Electroencephalogram (EEG) is susceptible to various nonneural physiological artifacts. Automatic artifact removal from EEG data remains a key challenge for extracting relevant information from brain activities. To adapt to variable subjects and EEG acquisition environments, this paper presents an a...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2015-01-01
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| Series: | BioMed Research International |
| Online Access: | http://dx.doi.org/10.1155/2015/720450 |