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EPViz: A flexible and lightweight visualizer to facilitate predictive modeling for multi-channel EEG.
Currey, Danielle; Craley, Jeff; Hsu, David; Ahmed, Raheel; Venkataraman, Archana.
Affiliation
  • Currey D; Department of Computer Science, Johns Hopkins University, Baltimore, MD, United States of America.
  • Craley J; Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, United States of America.
  • Hsu D; Department of Neurology, University of Wisconsin Madison, Madison, WI, United States of America.
  • Ahmed R; Department of Neurosurgery, University of Wisconsin Madison, Madison, WI, United States of America.
  • Venkataraman A; Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, United States of America.
PLoS One ; 18(2): e0282268, 2023.
Article in En | MEDLINE | ID: mdl-36848345
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Physicians / Electroencephalography Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2023 Document type: Article Affiliation country: Estados Unidos Country of publication: Estados Unidos
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Physicians / Electroencephalography Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2023 Document type: Article Affiliation country: Estados Unidos Country of publication: Estados Unidos