{"ID":2884042,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2508.14060","arxiv_id":"2508.14060","title":"Activity Coefficient-based Channel Selection for Electroencephalogram: A Task-Independent Approach","abstract":"Electroencephalogram (EEG) signals have gained widespread adoption in brain-computer interface (BCI) applications due to their non-invasive, low-cost, and relatively simple acquisition process. The demand for higher spatial resolution, particularly in clinical settings, has led to the development of high-density electrode arrays. However, increasing the number of channels introduces challenges such as cross-channel interference and computational overhead. To address these issues, modern BCI systems often employ channel selection algorithms. Existing methods, however, are typically task-specific and require re-optimization for each new application. This work proposes a task-agnostic channel selection method, Activity Coefficient-based Channel Selection (ACCS), which uses a novel metric called the Channel Activity Coefficient (CAC) to quantify channel utility based on activity levels. By selecting the top 16 channels ranked by CAC, ACCS achieves up to 34.97% improvement in multi-class classification accuracy. Unlike traditional approaches, ACCS identifies a reusable set of informative channels independent of the downstream task or model, making it highly adaptable for diverse EEG-based applications.","short_abstract":"Electroencephalogram (EEG) signals have gained widespread adoption in brain-computer interface (BCI) applications due to their non-invasive, low-cost, and relatively simple acquisition process. The demand for higher spatial resolution, particularly in clinical settings, has led to the development of high-density electr...","url_abs":"https://arxiv.org/abs/2508.14060","url_pdf":"https://arxiv.org/pdf/2508.14060v1","authors":"[\"Kartik Pandey\",\"Arun Balasubramanian\",\"Debasis Samanta\"]","published":"2025-08-10T04:40:41Z","proceeding":"q-bio.NC","tasks":"[\"q-bio.NC\",\"cs.CV\",\"cs.HC\",\"cs.LG\",\"eess.SP\"]","methods":"[]","has_code":false}