Author

Yingqi Huang

University of GenevaORCID 0009-0000-1276-7469Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Research Focus:benchmarking· 1 Research Focus:deconvolution· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Abele MichelaiD· 2 shared Cristina ColangeloiD· 2 shared Serge VulliémoziD· 2 shared Tomas RosiD· 2 shared Victor FératiD· 2 shared Kishen SenzianiiD· 1 shared Laurence CastonguayiD· 1 shared Seyed Mostafa KiaiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 32 mutual co-author links

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2 shared papersNeuroscience

Abele MichelaORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintSep 27, 2026

The Dry Truth: Hair-Wetting Improves Dry Electrode EEG Signal Quality

Yingqi Huang, Abele Michela, Victor Férat…·Tomas Ros

This study shows that wetting hair with tap water improves dry electrode EEG signal quality by reducing impedance and increasing spectral and functional connectivity similarity to gel-based systems.

DOI 10.64898/2026.09.21.753100

humanelectronic health records

𝕏 PostBluesky

NeurosciencebioRxivPreprintOct 4, 2025

Return of the GEDAI: Unsupervised EEG Denoising based on Leadfield Filtering

Tomas Ros, Victor Férat, Yingqi Huang…·Abele Michela

GEDAI improves EEG denoising by removing artifacts without clean references, outperforming existing methods in simulations and enhancing neurobehavioral predictions.

4 citations

electronic health recordsstatistical model

𝕏 PostBluesky