Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation
The electroencephalogram (EEG) is a valuable and widely applied tool for investigating brain disorders and behavioral changes. It offers a minimally restrictive and non-invasive method. However, challenges in using EEG for cognitive development studies include temporal resolution, signal source localization, and EEG artifacts. Careful consideration of these factors is essential for informed application of EEG technology. Independent component analysis (ICA) effectively isolates source generator processes from signals recorded by multiple, adjacent EEG scalp electrodes. Although ICA decomposition requires manual inspection, selection, and interpretation of independent components (ICs), thi...
| Authors | Zag ElSayed, Nathan Suer, Grace Westerkamp et al. |
|---|---|
| Primary category | q-bio.NC |
| Published | 22 July 2026 |
| Last updated at source | 22 July 2026 |
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