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Electromyography (EMG)

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Showing 76–94 of 94 papers

TitleStatusHype
ConTraNet: A single end-to-end hybrid network for EEG-based and EMG-based human machine interfaces—0
Convergence Rate Maximization for Split Learning-based Control of EMG Prosthetic Devices—0
Decoding EEG Speech Perception with Transformers and VAE-based Data Augmentation—0
DeepEMGNet: An Application for Efficient Discrimination of ALS and Normal EMG Signals—0
Deep Learning for Musculoskeletal Force Prediction—0
Deep Muscle EMG construction using A Physics-Integrated Deep Learning approach—0
EEG-EMG FAConformer: Frequency Aware Conv-Transformer for the fusion of EEG and EMG—0
EEG Signal Denoising Using pix2pix GAN: Enhancing Neurological Data Analysis—0
Effect of Analysis Window and Feature Selection on Classification of Hand Movements Using EMG Signal—0
Efficient TMS-Based Motor Cortex Mapping Using Gaussian Process Active Learning—0
Electromyography Signal Classification Using Deep Learning—0
EMG-Based Feature Extraction and Classification for Prosthetic Hand Control—0
EMG-Based Hand Gesture Recognition through Diverse Domain Feature Enhancement and Machine Learning-Based Approach—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
Evaluating Muscle Synergies with EMG Data and Physics Simulation in the Neurorobotics Platform—0
Evaluating Performance of Machine Learning Models for Diabetic Sensorimotor Polyneuropathy Severity Classification using Biomechanical Signals during Gait—0
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