A Mixed Filtering Approach for Real-Time Seizure State Tracking Using Multi-Channel Electroencephalography Data

Autor: Hamid Fekri Azgomi, Alexander Craik, Sankalp Parekh, Joseph T. Francis, Alexander G. Steele, Jose L. Contreras-Vidal, Rose T. Faghih, Sandipan Pati, Mohammad Badri Ahmadi

Publikováno v: IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society

Real-time continuous tracking of seizure state is necessary to develop feedback neuromodulation therapy that can prevent or terminate a seizure early. Due to its high temporal resolution, high scalp coverage, and non-invasive applicability, electroen

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f59d61e56d013105be5bd11813bc8d0
https://pubmed.ncbi.nlm.nih.gov/34543199