Detection of Stroke-Induced Visual Neglect and Target Response Prediction Using Augmented Reality and Electroencephalography
We aim to build a system incorporating electroencephalography (EEG) and augmented reality (AR) that is capable of identifying the presence of visual spatial neglect (SN) and mapping the estimated neglected visual field. An EEG-based brain-computer interface (BCI) was used to identify those spatiospe...
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Autores principales: | , , , , , , , , , |
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Formato: | Libro |
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IEEE,
2022-01-01T00:00:00Z.
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Acceso en línea: | Connect to this object online. |
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Número de Clasificación: |
A1234.567 |
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