Anomaly detection in electroencephalogram signals using unconstrained minimum average correlation energy filter
Problem statement: Electroencepharogram (EEG) is an extremely complex signal with very low signal to noise ratio and these attributed to difficulty in analyzing the signal. Hence for detecting abnormal segment, a distinctive method is required to train the technologist to distinguish the anomalous i...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Subjects: | |
| Online Access: | View Fulltext in Publisher View in Scopus |