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Electromyography (EMG)

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Showing 1–25 of 94 papers

TitleStatusHype
Towards Cross-Subject EMG Pattern Recognition via Dual-Branch Adversarial Feature Disentanglement—0
Articulatory Feature Prediction from Surface EMG during Speech ProductionCode0
Visual Feedback of Pattern Separability Improves Myoelectric Decoding Performance of Upper Limb Prostheses—0
Learning and Online Replication of Grasp Forces from Electromyography Signals for Prosthetic Finger Control—0
Hierarchical and Multimodal Data for Daily Activity UnderstandingCode0
Time Frequency Analysis of EMG Signal for Gesture Recognition using Fine grained Features—0
Mitigating the Impact of Electrode Shift on Classification Performance in Electromyography-Based Motion Prediction Using Sliding-Window Normalization—0
BioMoDiffuse: Physics-Guided Biomechanical Diffusion for Controllable and Authentic Human Motion Synthesis—0
Deep Muscle EMG construction using A Physics-Integrated Deep Learning approach—0
Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning FrameworkCode1
Revisiting convolutive blind source separation for identifying spiking motor neuron activity: From theory to practiceCode0
Recursive generalized type-2 fuzzy radial basis function neural networks for joint position estimation and adaptive EMG-based impedance control of lower limb exoskeletonsCode0
sDREAMER: Self-distilled Mixture-of-Modality-Experts Transformer for Automatic Sleep Staging—0
Multi-modal Speech Enhancement with Limited Electromyography Channels—0
Decoding EEG Speech Perception with Transformers and VAE-based Data Augmentation—0
Robustness-enhanced Myoelectric Control with GAN-based Open-set RecognitionCode0
A Powered Prosthetic Hand with Vision System for Enhancing the Anthropopathic Grasp—0
EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis—0
How Much Data is Enough? Optimization of Data Collection for Artifact Detection in EEG Recordings—0
EMGBench: Benchmarking Out-of-Distribution Generalization and Adaptation for ElectromyographyCode1
Separation of Neural Drives to Muscles from Transferred Polyfunctional Nerves using Implanted Micro-electrode Arrays—0
Learning Cortico-Muscular Dependence through Orthonormal Decomposition of Density RatiosCode0
Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputationCode0
Sonic Entanglements with Electromyography: Between Bodies, Signals, and Representations—0
EEG-EMG FAConformer: Frequency Aware Conv-Transformer for the fusion of EEG and EMG—0
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