Author

Yu Tsao

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Preprint Sep 2026

SSEMG-Net: A Spectrogram-Based Mamba Network for Surface Electromyography Denoising

Electrocardiogram (ECG) artifact contamination frequently occurs in surface electromyography (sEMG) when muscles are recorded near the heart. Existing neural network (NN)-based approaches typically perform waveform-level end-to-end denoising with pointwise losses, but often fail to preserve the spectral structures of s...

Cheng-Han Shih, Kuan-Chen Wang, Kai-Chun Liu et al. · 0 citations

Preprint Sep 2026

DiSR-ECG: Residual Shifting Conditional Diffusion for Robust ECG Super-Resolution

Electrocardiogram (ECG) signals are essential for arrhythmia diagnosis. With the growing adoption of long-term monitoring via wearable and portable devices, energy-efficient acquisition has become critical, motivating the development of ECG super-resolution (SR) techniques to reconstruct high-resolution signals from lo...

Fan-Yi Hsu, I. Chiu, Kuan-Chen Wang et al. · 0 citations

#machine learning Open access Sep 2026

Prism-SQA: An Interpretable and Adaptable Neural Framework for Surface Electromyography Quality Assessment

Prism-SQA is proposed, an interpretable and adaptable neural framework that reformulates SQA as a physiology-aware source-separation and verification process that achieves competitive or better performance than contemporary black-box neural methods while providing explicit interpretability and adaptability.

Kuan-Chen Wang, Kai-Chun Liu, Ping-Cheng Yeh et al. · IEEE journal of biomedical a... · 0 citations