Author

Dennis Yeung

Aalto UniversityORCID 0000-0002-9760-0752Unclaimed 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· 3 Assay:electrophysiology· 3 Approach:deep learning· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1

Frequent Co-Authors

Francesco NegroiD· 4 shared Ivan VujaklijaiD· 4 shared Mansour TaleshiiD· 3 shared Minh Dinh Trong· 1 shared Stéphane DenyiD· 1 shared

Activity by Year

2024-2025 · peak 3/yr

Co-Author Collaboration Network

5 top collaborators · 10 mutual co-author links

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4 shared papersBioengineering

Francesco NegroORCID

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4 papers

Recent·Most cited

Effects of Spatial and Signal-Imposed Noises on Motor Unit Decomposition

Mansour Taleshi, Dennis Yeung, Francesco Negro, Ivan Vujaklija

This study evaluates how different types of noise affect motor unit decomposition using HD-sEMG, finding that global noise severely impacts results while localized noise has minimal effects.

bioRxiv · Sep 10, 2025 · PreprintBioengineering

Sensitivity of Non-Invasive Motor-Unit-Based Gesture Recognition to Signal Degradation

Mansour Taleshi, Dennis Yeung, Francesco Negro, Ivan Vujaklija

This study evaluates how signal degradation affects motor-unit-based gesture recognition using HMI, finding that LDA and DNN perform differently under noise and spatial perturbations.

bioRxiv · Sep 10, 2025 · PreprintBioengineering

Impact of Noise on Deep Learning-Based Pseudo-Online Gesture Recognition with High-Density EMG

Mansour Taleshi, Dennis Yeung, Minh Dinh Trong, Francesco Negro, Stéphane Deny, Ivan Vujaklija

This study evaluates how different noises affect a DNN-based gesture recognition system using HD-sEMG, finding that feature type and noise type influence performance degradation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · Jul 14, 2025Peer-reviewedBioengineering

Adaptive HD-sEMG decomposition: Towards robust real-time decoding of neural drive

Dennis Yeung, Francesco Negro, Ivan Vujaklija

This study develops an adaptive real-time algorithm for decoding motor unit activity from HD-sEMG and shows it outperforms static methods under changing contraction conditions.

Journal of Neural Engineering · Mar 13, 2024Peer-reviewedNeuroscience