Activity Prediction for Localizing the Events in Imagined Speech EEG Signals
Imagined speech electroencephalogram (EEG) signals are often collected for longer durations than necessary, leading to a difficulty in understanding the generation of EEG during the task as it is likely that most of the data collected is that of resting state. Developing a filter to identify the seg...
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| Veröffentlicht in: | The ... International Winter Conference on Brain-Computer Interface S. 1 - 5 |
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| Hauptverfasser: | , , , |
| Format: | Tagungsbericht |
| Sprache: | Englisch |
| Veröffentlicht: |
IEEE
24.02.2025
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| Schlagworte: | |
| ISSN: | 2572-7672 |
| Online-Zugang: | Volltext |
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