Repaint High-Density Surface Electromyography Signal Using Denoising Diffusion Probabilistic Model

The proposed HD-sEMG signal reconstruction approach offers a new solution for enhancing the fidelity and reliability of HD-sEMG signal acquisition.

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Publication Details

Journal
IEEE Transactions on Biomedical Engineering
Published
2025-09-02
DOI
https://doi.org/10.1109/tbme.2025.3604527
Citations
1
Primary Topic
Muscle activation and electromyography studies
Type
article
Field-Weighted Citation Impact
0.67
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article

Repaint High-Density Surface Electromyography Signal Using Denoising Diffusion Probabilistic Model

Ning Jiang, Jiawei Liao, Jiayuan He, Yanchun Zhao et al.
1 citations
IEEE Transactions on Biomedical Engineering
Muscle activation and electromyography studies
0.67
article

Repaint High-Density Surface Electromyography Signal Using Denoising Diffusion Probabilistic Model

Ning Jiang, Jiawei Liao, Jiayuan He, Yanchun Zhao, Fang Xia, Hai Wang
article en
1 citations

Abstract

The proposed HD-sEMG signal reconstruction approach offers a new solution for enhancing the fidelity and reliability of HD-sEMG signal acquisition.

IEEE Transactions on Biomedical EngineeringVol. 73(3)
Sichuan University (CN), West China Hospital of Sichuan University (CN)
Openalex Percentile: Top 27%
Muscle activation and electromyography studies
0.67
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