Author

David R. Mullineaux

University of YorkORCID 0000-0002-5688-404XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 1 Assay:electronic health records· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Astrid Priscilla Martinez-CedilloiD· 1 shared Elena GeanguiD· 1 shared Harry T. MasoniD· 1 shared Maria Carmen Garcia-de-SoriaiD· 1 shared Marina I. KnightiD· 1 shared Quoc C. VuongiD· 1 shared Yisi ZhangiD· 1 shared

Activity by Year

2025-2025 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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1 shared paperNeuroscience

Astrid Priscilla Martinez-CedilloORCID

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1 paper

Recent·Most cited

ASAP: An automatic sustained attention prediction method for infants and toddlers using wearable device signals

Yisi Zhang, Astrid Priscilla Martinez-Cedillo, Harry T. Mason, Quoc C. Vuong, Maria Carmen Garcia-de-Soria, David R. Mullineaux, Marina I. Knight, Elena Geangu

ASAP predicts sustained attention in infants using ECG and accelerometer signals from wearable devices, showing comparable performance to human coding and age-related patterns in attention periods.

Scientific Reports · Apr 17, 2025Peer-reviewedNeuroscience