Exploring EEG Signal Features for Predicting Post Cardiac Arrest Prognosis

Resource type
Authors/contributors
Title
Exploring EEG Signal Features for Predicting Post Cardiac Arrest Prognosis
Date
2023-11-26
Conference Name
2023 Computing in Cardiology Conference
Accessed
1/14/24, 3:55 PM
Library Catalog
DOI.org (Crossref)
Citation
Guilherme Cunha Santos, A., Alexandre Lobo Marques, J., Rigo Jr., L., & Paulo Madeiro, J. (2023, November 26). Exploring EEG Signal Features for Predicting Post Cardiac Arrest Prognosis. 2023 Computing in Cardiology Conference. https://doi.org/10.22489/CinC.2023.312
Cooperation