Author

Jacqueline S. Slobin

University of VirginiaORCID 0000-0001-6171-0610Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Cabell L. WilliamsiD· 1 shared Meghan H. PugliaiD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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1 shared paperNeuroscience

Cabell L. WilliamsORCID

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1 paper

Recent·Most cited

NeuroscienceDevelopmental Cognitive NeurosciencePeer-reviewedOct 17, 2022

The Automated Preprocessing Pipe-Line for the Estimation of Scale-wise Entropy from EEG Data (APPLESEED): Development and validation for use in pediatric populations

Meghan H. Puglia, Jacqueline S. Slobin, Cabell L. Williams

This paper develops and validates a standardized EEG preprocessing and entropy estimation pipeline called APPLESEED to reliably estimate scale-wise entropy for developmental studies.

14 citations

humanelectronic health records

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