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Electromyography (EMG)

Papers

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Showing 26–50 of 94 papers

TitleStatusHype
BioMoDiffuse: Physics-Guided Biomechanical Diffusion for Controllable and Authentic Human Motion Synthesis—0
Comparison of gait phase detection using traditional machine learning and deep learning techniques—0
ConTraNet: A single end-to-end hybrid network for EEG-based and EMG-based human machine interfaces—0
Review of medical data analysis based on spiking neural networks—0
sDREAMER: Self-distilled Mixture-of-Modality-Experts Transformer for Automatic Sleep Staging—0
Inference of Upcoming Human Grasp Using EMG During Reach-to-Grasp Movement—0
Sensor fusion using EMG and vision for hand gesture classification in mobile applications—0
Separation of Neural Drives to Muscles from Transferred Polyfunctional Nerves using Implanted Micro-electrode Arrays—0
Simplified markerless stride detection pipeline (sMaSDP) for surface EMG segmentation—0
Sleep Model -- A Sequence Model for Predicting the Next Sleep Stage—0
Sliding-Window Normalization to Improve the Performance of Machine-Learning Models for Real-Time Motion Prediction Using Electromyography—0
Sonic Entanglements with Electromyography: Between Bodies, Signals, and Representations—0
Studying the control of non invasive prosthetic hands over large time spans—0
The Effects of Unilateral Slope Loading on Lower Limb Plantar Flexor Muscle EMG Signals in Young Healthy Males—0
Time Frequency Analysis of EMG Signal for Gesture Recognition using Fine grained Features—0
Towards Creating a Deployable Grasp Type Probability Estimator for a Prosthetic Hand—0
Towards Cross-Subject EMG Pattern Recognition via Dual-Branch Adversarial Feature Disentanglement—0
Towards EMG-to-Speech with a Necklace Form Factor—0
Towards Robust and Interpretable EMG-based Hand Gesture Recognition using Deep Metric Meta Learning—0
Transfer Learning on Electromyography (EMG) Tasks: Approaches and Beyond—0
Uncertainty Quantification in Machine Learning for Biosignal Applications -- A Review—0
EMGSE: Acoustic/EMG Fusion for Multimodal Speech Enhancement—0
EMG Signal Classification for Neuromuscular Disorders with Attention-Enhanced CNN—0
EMG wrist-hand motion recognition system for real-time Embedded platform—0
End-to-end neural networks for subvocal speech recognition—0
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