Adaptable and Robust EEG Bad Channel Detection Using Local Outlier Factor (LOF)
Electroencephalogram (EEG) data are typically affected by artifacts. The detection and removal of bad channels (i.e., with poor signal-to-noise ratio) is a crucial initial step. EEG data acquired from different populations require different cleaning strategies due to the inherent differences in the...
| Glavni autori: | , , , |
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| Format: | Članak |
| Jezik: | English |
| Izdano: |
MDPI AG
2022-09-01
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| Serija: | Sensors |
| Teme: | |
| Online pristup: | https://www.mdpi.com/1424-8220/22/19/7314 |