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Electromyography (EMG)

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Showing 51–94 of 94 papers

TitleStatusHype
ResEMGNet: A Lightweight Residual Deep Learning Architecture for Neuromuscular Disorder Detection from Raw EMG Signals—0
Multi-Modal Wireless Flexible Gel-Free Sensors with Edge Deep Learning for Detecting and Alerting Freezing of Gait in Parkinson's Patients—0
Electromyography Signal Classification Using Deep Learning—0
Sleep Model -- A Sequence Model for Predicting the Next Sleep Stage—0
Simplified markerless stride detection pipeline (sMaSDP) for surface EMG segmentation—0
Review of medical data analysis based on spiking neural networks—0
Transfer Learning on Electromyography (EMG) Tasks: Approaches and Beyond—0
Leveraging Smartphone Sensors for Detecting Abnormal Gait for Smart Wearable Mobile Technologies—0
Upper Limb Movement Recognition utilising EEG and EMG Signals for Rehabilitative RoboticsCode0
ConTraNet: A single end-to-end hybrid network for EEG-based and EMG-based human machine interfaces—0
Evaluating Performance of Machine Learning Models for Diabetic Sensorimotor Polyneuropathy Severity Classification using Biomechanical Signals during Gait—0
Sliding-Window Normalization to Improve the Performance of Machine-Learning Models for Real-Time Motion Prediction Using Electromyography—0
EMGSE: Acoustic/EMG Fusion for Multimodal Speech Enhancement—0
Towards Predicting Fine Finger Motions from Ultrasound Images via Kinematic RepresentationCode0
Evaluating Muscle Synergies with EMG Data and Physics Simulation in the Neurorobotics Platform—0
KNN Learning Techniques for Proportional Myocontrol in Prosthetics—0
Efficient TMS-Based Motor Cortex Mapping Using Gaussian Process Active Learning—0
A complex network approach to time series analysis with application in diagnosis of neuromuscular disorders—0
Investigating the spatial resolution of EMG and MMG based on a systemic multi-scale model—0
EMG-Based Feature Extraction and Classification for Prosthetic Hand Control—0
End-to-end grasping policies for human-in-the-loop robots via deep reinforcement learningCode0
Inference of Upcoming Human Grasp Using EMG During Reach-to-Grasp Movement—0
Multimodal Fusion of EMG and Vision for Human Grasp Intent Inference in Prosthetic Hand Control—0
Heterogeneous Hand Guise Classification Based on Surface Electromyographic Signals Using Multichannel Convolutional Neural Network—0
Towards Creating a Deployable Grasp Type Probability Estimator for a Prosthetic Hand—0
Facial movement synergies and Action Unit detection from distal wearable Electromyography and Computer Vision—0
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical ApplicationsCode0
On the use of higher-order tensors to model muscle synergies—0
Facial Electromyography-based Adaptive Virtual Reality Gaming for Cognitive Training—0
Effect of Analysis Window and Feature Selection on Classification of Hand Movements Using EMG Signal—0
Sensor fusion using EMG and vision for hand gesture classification in mobile applications—0
Parkinson’s Disease EMG Signal Prediction Using Neural NetworksCode0
Deep learning approach to control of prosthetic hands with electromyography signals—0
EV-Action: Electromyography-Vision Multi-Modal Action DatasetCode0
Muscle Activity Analysis using Higher-Order Tensor Models: Application to Muscle Synergy Identification—0
EMG wrist-hand motion recognition system for real-time Embedded platform—0
Deep Learning for Musculoskeletal Force Prediction—0
Recognition of basic hand movements using Electromyography—0
DeepEMGNet: An Application for Efficient Discrimination of ALS and Normal EMG Signals—0
Quantifying Performance of Bipedal Standing with Multi-channel EMG—0
End-to-end neural networks for subvocal speech recognition—0
Boosting Factor-Specific Functional Historical Models for the Detection of Synchronisation in Bioelectrical SignalsCode0
Leveraging Over Priors for Boosting Control of Prosthetic Hands—0
Studying the control of non invasive prosthetic hands over large time spans—0
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