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2210.13271
Cited By

ECG Artifact Removal from Single-Channel Surface EMG Using Fully
Convolutional Networks

ECG Artifact Removal from Single-Channel Surface EMG Using Fully Convolutional Networks

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022

24 October 2022

Yu Tsao

ArXiv (abs)PDF HTML Github (9★)

Papers citing "ECG Artifact Removal from Single-Channel Surface EMG Using Fully Convolutional Networks"

3 / 3 papers shown

TrustEMG-Net: Using Representation-Masking Transformer with U-Net for
Surface Electromyography Enhancement

TrustEMG-Net: Using Representation-Masking Transformer with U-Net for Surface Electromyography EnhancementIEEE journal of biomedical and health informatics (IEEE JBHI), 2024

Yu Tsao

259

7

0

04 Oct 2024

A Non-Intrusive Neural Quality Assessment Model for Surface
Electromyography Signals

A Non-Intrusive Neural Quality Assessment Model for Surface Electromyography Signals

Xugang Lu

Yu Tsao

241

1

0

08 Feb 2024

SDEMG: Score-based Diffusion Model for Surface Electromyographic Signal
Denoising

SDEMG: Score-based Diffusion Model for Surface Electromyographic Signal DenoisingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024

Yu Tsao

302

9

0

06 Feb 2024

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