Electromyography (EMG)

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

5 subtasks in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

26 shown of 26 papers with code (94 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• sEMG Gesture Recognition with a Simple Model of Attention
  5 Jun 2020 2 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Myoelectric control is one of the leading areas of research in the field of robotic prosthetics.
• Parkinson’s Disease EMG Data Augmentation and Simulation with DCGANs and Style Transfer
  3 May 2020 2 repositories listed
  This paper proposes two new data augmentation approaches based on Deep Convolutional Generative Adversarial Networks (DCGANs) and Style Transfer for augmenting Parkinson’s Disease (PD) electromyography (EMG) signals.
• Articulatory Feature Prediction from Surface EMG during Speech Production
  20 May 2025 1 repository listed
  We present a model for predicting articulatory features from surface electromyography (EMG) signals during speech production.
• Hierarchical and Multimodal Data for Daily Activity Understanding
  24 Apr 2025 1 repository listed
  To capture the complexity in human activities, DARai is annotated at three levels of hierarchy: (i) high-level activities (L1) that are independent tasks, (ii) lower-level actions (L2) that are patterns shared between…
• Toward Foundational Model for Sleep Analysis Using a Multimodal Hybrid Self-Supervised Learning Framework
  18 Feb 2025 1 repository listed
  This approach enables the model to learn highly expressive representations of PSG data.
• Revisiting convolutive blind source separation for identifying spiking motor neuron activity: From theory to practice
  6 Feb 2025 1 repository listed
  Yet, the existence and identifiability of inverse solutions and the corresponding estimation errors are not fully understood.
• Recursive generalized type-2 fuzzy radial basis function neural networks for joint position estimation and adaptive EMG-based impedance control of lower limb exoskeletons
  1 Feb 2025 1 repository listed
  An impedance controller manages robot joints, while a fuzzy system determines the control parameters.
• Robustness-enhanced Myoelectric Control with GAN-based Open-set Recognition
  20 Dec 2024 1 repository listed
  Electromyography (EMG) signals are widely used in human motion recognition and medical rehabilitation, yet their variability and susceptibility to noise significantly limit the reliability of myoelectric control systems.
• EMGBench: Benchmarking Out-of-Distribution Generalization and Adaptation for Electromyography
  31 Oct 2024 1 repository listed
  This paper introduces the first generalization and adaptation benchmark using machine learning for evaluating out-of-distribution performance of electromyography (EMG) classification algorithms.
• Learning Cortico-Muscular Dependence through Orthonormal Decomposition of Density Ratios
  4 Oct 2024 1 repository listed
  Our method extends from traditional scalar-valued measures by learning eigenvalues, eigenfunctions, and projection spaces of density ratios from realizations of the signal, addressing the interpretability, scalability,…
• Bayes-CATSI: A variational Bayesian deep learning framework for medical time series data imputation
  1 Oct 2024 1 repository listed
  Medical time series datasets feature missing values that need data imputation methods, however, conventional machine learning models fall short due to a lack of uncertainty quantification in predictions.
• A cross-sectional study to analyse the presence of low back pain in university students and its relationship with coffee
  4 Jul 2024 1 repository listed
  This study aims to analyze electromyography (EMG) signals of the multifidus muscles using the BiTalino device to assess chronic LBP in university students.
• Home Study Environments: Assessment of Posture and Muscle Fatigue Using Superficial Electromyography in the Context of Virtual Education After the Pandemic
  2 Jul 2024 1 repository listed
  The COVID-19 pandemic led to a rapid shift to virtual education, raising concerns about the ergonomics and posture of college students at home.
• Effect of prolonged use of Smartphones on neck and wrist muscle fatigue using surface EMG
  1 Dec 2023 1 repository listed
  Prolonged smartphone usage is prevalent among young adults in Lima, Peru, with potential implications for musculoskeletal health.
• Fast and Expressive Gesture Recognition using a Combination-Homomorphic Electromyogram Encoder
  30 Oct 2023 1 repository listed
  New subjects only demonstrate the single component gestures and we seek to extrapolate from these to all possible single or combination gestures.
• Upper Limb Movement Recognition utilising EEG and EMG Signals for Rehabilitative Robotics
  18 Jul 2022 1 repository listed
  Electromyography (EMG) signals and Electroencephalography (EEG) signals are used widely for upper limb movement classification.
• Dreamento: an open-source dream engineering toolbox for sleep EEG wearables
  8 Jul 2022 1 repository listed
  We introduce Dreamento (Dream engineering toolbox), an open-source Python package for dream engineering using sleep electroencephalography (EEG) wearables.
• Neuro-BERT: Rethinking Masked Autoencoding for Self-supervised Neurological Pretraining
  20 Apr 2022 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  To address the appetite for data in deep learning, we present Neuro-BERT, a self-supervised pre-training framework of neurological signals based on masked autoencoding in the Fourier domain.
• Towards Predicting Fine Finger Motions from Ultrasound Images via Kinematic Representation
  10 Feb 2022 1 repository listed
  A central challenge in building robotic prostheses is the creation of a sensor-based system able to read physiological signals from the lower limb and instruct a robotic hand to perform various tasks.
• An Improved Model for Voicing Silent Speech
  3 Jun 2021 1 repository listed
  In this paper, we present an improved model for voicing silent speech, where audio is synthesized from facial electromyography (EMG) signals.
• End-to-end grasping policies for human-in-the-loop robots via deep reinforcement learning
  26 Apr 2021 1 repository listed
  State-of-the-art human-in-the-loop robot grasping is hugely suffered by Electromyography (EMG) inference robustness issues.
• Digital Voicing of Silent Speech
  6 Oct 2020 1 repository listed
  In this paper, we consider the task of digitally voicing silent speech, where silently mouthed words are converted to audible speech based on electromyography (EMG) sensor measurements that capture muscle impulses.
• Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications
  11 Jul 2020 1 repository listed
  The advent of dedicated Deep Learning (DL) accelerators and neuromorphic processors has brought on new opportunities for applying both Deep and Spiking Neural Network (SNN) algorithms to healthcare and biomedical…
• Parkinson’s Disease EMG Signal Prediction Using Neural Networks
  6 Oct 2019 1 repository listed
  This paper proposes a comparison between different neural network models, using multilayer perceptron (MLPs) and recurrent neural network (RNN) models, for predicting Parkinson's disease electromyography (EMG) signals,…
• EV-Action: Electromyography-Vision Multi-Modal Action Dataset
  20 Apr 2019 1 repository listed
  To make up this, we introduce a new, large-scale EV-Action dataset in this work, which consists of RGB, depth, electromyography (EMG), and two skeleton modalities.
• Boosting Factor-Specific Functional Historical Models for the Detection of Synchronisation in Bioelectrical Signals
  20 Sep 2016 1 repository listed
  The link between different psychophysiological measures during emotion episodes is not well understood.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.