Author

Hau‐Tieng Wu

Duke UniversityORCID 0000-0002-0253-3156Unclaimed 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:benchmarking· 1 Approach:diffusion model· 1 Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1 Assay:long-read sequencing· 1 Approach:machine learning (classical)· 1 Research Focus:spatial domain detection· 1 Approach:statistical model· 1

Frequent Co-Authors

Caroline LustenbergeriD· 1 shared Chao Shen· 1 shared Maria Laura FersteriD· 1 shared Neng-Tai ChiuiD· 1 shared Stephanie HuwileriD· 1 shared Walter KarleniD· 1 shared Yu-Ting LiniD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 11 mutual co-author links

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1 shared paperNeuroscience

Caroline LustenbergerORCID

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2 papers

Recent·Most cited

Get rid of the beat in mobile EEG applications: A framework towards automated cardiogenic artifact detection and removal in single-channel EEG

Neng-Tai Chiu, Stephanie Huwiler, Maria Laura Ferster, Walter Karlen, Hau‐Tieng Wu, Caroline Lustenberger

This paper introduces brMEGA, an algorithm for automated detection and removal of cardiogenic artifacts in single-channel EEG, showing effective artifact removal and potential for heart rate feature extraction.

Biomedical Signal Processing and Control · Nov 1, 2021Peer-reviewedNeuroscience

Robust and scalable manifold learning via landmark diffusion for long-term medical signal processing

Chao Shen, Yu-Ting Lin, Hau‐Tieng Wu

The paper introduces a robust and scalable spectral embedding algorithm for analyzing long-term physiological time series, applied to study arterial blood pressure dynamics during liver transplants.

bioRxiv · May 31, 2020 · PreprintBioinformatics