7 citations · 9 across the 3 of their papers we have counts for
5 papers
DiSR-ECG: Residual Shifting Conditional Diffusion for Robust ECG Super-Resolution
Fan-Yi Hsu, I Chiu, Kuan-Chen Wang +2
Electrocardiogram (ECG) signals are essential for arrhythmia diagnosis. With the growing adoption of long-term monitoring via wearable and portable devices, energy-efficient acquis…
Prism-SQA: An Interpretable and Adaptable Neural Framework for Surface Electromyography Quality Assessment
Kuan-Chen Wang, Kai-Chun Liu, Ping-Cheng Yeh +2
sEMG is vulnerable to various contaminants that distort signal morphology and spectral content. Accurate signal quality assessment (SQA) is essential for identifying such degradati…
Transfer Learning for Keypoint Detection in Low-Resolution Thermal TUG Test Images
Wei-Lun Chen, Chia-Yeh Hsieh, Yu-Hsiang Kao +3
This study presents a novel approach to human keypoint detection in low-resolution thermal images using transfer learning techniques. We introduce the first application of the Time…
TrustEMG-Net: Using Representation-Masking Transformer with U-Net for Surface Electromyography Enhancement
Kuan-Chen Wang, Kai-Chun Liu, Ping-Cheng Yeh +2
Surface electromyography (sEMG) is a widely employed bio-signal that captures human muscle activity via electrodes placed on the skin. Several studies have proposed methods to remo…
SDEMG: Score-based Diffusion Model for Surface Electromyographic Signal Denoising
Yu-Tung Liu, Kuan-Chen Wang, Kai-Chun Liu +2
Surface electromyography (sEMG) recordings can be influenced by electrocardiogram (ECG) signals when the muscle being monitored is close to the heart. Several existing methods use…