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
Hauptverfasser: Balasubramanian, Arun, Pandey, Kartik, Veer, Gautam, Samanta, Debasis
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 24.02.2025
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ISSN:2572-7672
Online-Zugang:Volltext
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