An adaptive singular spectrum analysis method for extracting brain rhythms of electroencephalography
Artifacts removal and rhythms extraction from electroencephalography (EEG) signals are important for portable and wearable EEG recording devices. Incorporating a novel grouping rule, we proposed an adaptive singular spectrum analysis (SSA) method for artifacts removal and rhythms extraction. Based o...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2017-06-01
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| Series: | PeerJ |
| Subjects: | |
| Online Access: | https://peerj.com/articles/3474.pdf |