Publications citing Open Access Dataset and Toolbox of High-Density Surface Electromyogram Recordings v2.0.0

Prototype-Guided Test-Time Adaptation for Real-Time EMG-Based Gesture Recognition
Yanbao Ma, Yalin Wang, Chenyun Dai et al. International Journal of Neural Systems, 2026. Cites: paper

HySER: High-Density Surface Electromyogram Recordings
Xinyu Jiang, Chenyun Dai, Xiangyu Liu et al. UC San Diego, 2026. Cites: paper

From muscles to motion: the role of sensor layout and physiological factors in hand motion decoding
Daniel Andreas, Anany Dwivedi, Claudio Castellini et al. Scientific Reports, 2026. Cites: paper

SYNtzulu-Conv: Enabling Spiking 2D Convolutions for Sensor Data Analysis on Low-Power FPGAs
Gianluca Leone, Federico Mura, Luigi Raffo et al. International Symposium on Highly Efficient Accelerators and Reconfigurable Technologies (HEART), 2026. Cites: paper

Acquisition of hand movement sEMG signals using a passive filter circuit for feature extraction and classification
Pooja Maurya, Sujan Yenuganti, Samatha Benedict et al. Chinese Journal of Physics, 2026. Cites: paper

Wrist-Wearable sEMG Gesture Recognition System Based on ThinNet Lightweight Neural Network
Zi Wang, Long Meng, Chen Chen et al. Bioengineering, 2026. Cites: paper

High-density biosignal representation based on temporospatial frames: an EMG case study
Hamed Rafiei, Mohammad-R. Akbarzadeh-T. Expert Systems with Applications, 2026. Cites: paper

Temporal convolutional network architectures: a novel simultaneous spatio-temporal model for comparative analysis
Milad Jabbari, Eisa Aghchehli, Chenfei Ma et al. Frontiers in Signal Processing, 2026. Cites: paper

Feature Selection-Driven EMG-to-Force Mapping for Enhanced Myoelectric Control Reliability
Iffat Ara, Md. Johirul Islam, Tapodhir Karmakar Taton et al. IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN), 2026. Cites: dataset, paper

Calibration‐Free Electromyography Motor Intent Decoding Using Large‐Scale Supervised Pretraining
Alexander E. Olsson, Nebojša Malešević, Anders Björkman et al. Advanced Intelligent Systems, 2026. Cites: paper

An EEG-Driven Exoskeleton Rehabilitation Robot for Upper Limb Recovery Using Empirical Mode Decomposition: A Response Surface Methodology Approach
K. Vijayakumar, D. Bubesh Kumar. Russian Journal of Physical Chemistry B, 2026. Cites: paper

Diffusion-based learning for cross day hand gesture recognition using HD-sEMG signals
Kejia Su, Bo Wan, Jiayang Huang et al. Biomedical Signal Processing and Control, 2026. Cites: paper

Enhancing realism and diversity in data augmentation for robust HD-sEMG gesture recognition against electrode shift
Haikong Lu, Le Wu, Shengcai Duan et al. Biomedical Signal Processing and Control, 2026. Cites: paper

Online robust decomposition of surface electromyography signals via peel-off deep learning
Zeyu Zhou, Yang Yu, Chen Chen et al. Biomedical Signal Processing and Control, 2026. Cites: paper

PhysioMio: bilateral and longitudinal HD-sEMG dataset of 16 hand gestures from 48 stroke patients
Julian Ilg, Alexander C. R. Oldemeier, Marie Fieweger et al. Scientific Data, 2026. Cites: paper

Adaptive FastICA for HD-sEMG Decomposition Based on Actor-Critic Learning
Jintao Liu, Yinhua Liu. IEEE Access, 2026. Cites: dataset, paper

Cross-Force Generalization in Myoelectric Gesture Recognition: A Comparative Study of Data Augmentation and Generalized Models
Yangyang Yuan, Xinyu Jiang, Chenyun Dai. IEEE Transactions on Instrumentation and Measurement, 2026. Cites: paper

EMG Probability Density Function Inverse Problem: Motor Unit Potential Amplitude Versus Motor Unit Recruitment Threshold Maps
Javier Navallas, Cristina Mariscal, Armando Malanda et al. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2026. Cites: paper

Robust Feature and Channel Selection for HD-sEMG-Based Finger Force Estimation Using Regression and Deep Learning Models
Iffat Ara, Md. Johirul Islam, Tapodhir Karmakar Taton et al. SSRN Electronic Journal, 2026. Cites: paper

Influence of electrode placement on the recognition of different gesture categories using high-density sEMG
Fang Qiu, Xiaodong Liu, Xinming Ye. Frontiers in Neuroscience, 2025. Cites: paper

A Comprehensive Survey of Machine Learning Algorithms in Hand Gesture Recognition for Myoelectric Prosthetic Control: Current Trends, Challenges and Future Directions
T. Prabhavathy, Vinodh Kumar Elumalai, Balaji Elumalai. Archives of Computational Methods in Engineering, 2025. Cites: paper

Evaluating Stroke-Related Motor Impairment and Recovery Using Macroscopic and Microscopic Features of HD-sEMG
Wenting Qin, Xin Tan, Yi Yu et al. Bioengineering, 2025. Cites: paper

A Comprehensive Analysis of Data Driven NN Models for EMG-Based Force Estimation in Rehabilitation Robotics
Lotfi Mostefai, Brahim Brahmi, Bouhamdi Merzoug et al. International Conference on Advances in Electronics, Control and Communication Systems (ICAECCS), 2025. Cites: paper

Scalability of random forest in myoelectric control
Xinyu Jiang, Chenfei Ma, Kianoush Nazarpour. Journal of Neural Engineering, 2025. Cites: paper

Generalizable gesture classification of HDsEMG using volume representations of muscles averaged across multiple individuals
Jonathan Lundsberg, Anders Björkman, Nebojša Malešević et al. Scientific Reports, 2025. Cites: paper

Consistency Analyses of Open-Source Software for Motor Unit Decomposition Using High-Density Electromyography
Jirui Fu, Shiyu Zhang, Helen J. Huang et al. International IEEE/EMBS Conference on Neural Engineering, 2025. Cites: paper

Enhancing Robustness of Hand Gesture Recognition Against Sensor Data Loss by Fusing High-Density sEMG and Kinematics
Yushuai Yan, Chengyu Lin, Chenglong Fu et al. Lecture notes in computer science, 2025. Cites: paper

Subject-Embedded Vision Transformer with Transfer Learning for Cross-Subject Dynamic Hand Gesture Recognition Using HD-sEMG
Jirou Feng, Xingce Bao, Junhwan Choi et al. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025. Cites: paper

Dual-Scale Fusion Neural Network (DFNN) for Robust Hand Rehabilitation Action Recognition Under Muscle Fatigue Conditions
Tingfeng Jiang, Hao Guo, Keyi Lu et al. IEEE International Conference on Cyborg and Bionic Systems (CBS), 2025. Cites: paper

Finger Force Decoding from Motor Units Activity on Neuromorphic Hardware
Farah Baracat, Giacomo Indiveri, Elisa Donati. IEEE Biomedical Circuits and Systems Conference (BioCAS), 2025. Cites: paper

Repaint High-Density Surface Electromyography Signal Using Denoising Diffusion Probabilistic Model
Yihui Zhao, Jiawei Liao, Xia Fang et al. IEEE Transactions on Biomedical Engineering, 2025. Cites: paper

A database of multimodal myography and hand kinematics during realistic daily life activities
Daniel Andreas, Dominik Werner, Zhongshi Hou et al. Scientific Data, 2025. Cites: paper

Physical reservoir computing for biomedical applications
Yuqi Ding, Bhavani Prasad Yalagala, Haobo Li et al. Neuromorphic Computing and Engineering, 2025. Cites: paper

A Consecutive Multi-Day High-Density Surface Electromyography Dataset Comprising 7 Grasps and 11 Gestures
Shutian Yang, Chen Chen, Dongxuan Li et al. Scientific Data, 2025. Cites: paper

Deep learning for human locomotion analysis in lower-limb exoskeletons: a comparative study
Omar Coser, Christian Tamantini, Matteo Tortora et al. Frontiers in Computer Science, 2025. Cites: paper

An Enhanced Random Convolutional Kernel Transform for Diverse and Robust Feature Extraction from High-Density Surface Electromyograms for Cross-day Gesture Recognition
Yonglin Wu, Xinyu Jiang, Jionghui Liu et al. International Journal of Neural Systems, 2025. Cites: paper

Exploring Muscle Synergy Consistency and Physiological Interpretability in Speech Evaluation Using High-Density sEMG
Xin Tan, Sijing Fan, Hongyun Zheng et al. IEEE Transactions on Biomedical Engineering, 2025. Cites: paper

Raising the standard: an open source benchmarking platform and data repository to accelerate myoelectric control research
Ethan Eddy, Evan Campbell, Christian B Morrell et al. Machine Learning Health, 2025. Cites: paper

Neural Deocoding Based on sEMG Signals: A Review
Shaoyang Hua, Xin Jin. Chinese Control Conference (CCC), 2025. Cites: paper

A Simplified Convolutional Block Attention Module for Robust Hand Gesture Recognition with High Density Surface Electromyography
Bangyan Niu, Junwei Li, Yifan Wang. IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2025. Cites: paper

Understanding of Task-Specific and Subject-Specific Components in Surface EMG
Yangyang Yuan, Jionghui Liu, Xinyu Jiang et al. International Journal of Neural Systems, 2025. Cites: paper

Oct-HD: A Wearable Distributed Wireless HD-sEMG Synchronous Acquisition System for Long-Term Monitoring
Xin Tan, Yujie Zhang, Zikai Lin et al. IEEE Internet of Things Journal, 2025. Cites: paper

Low-Rank Adaptation for Transformers in Dynamic Hand Gesture Recognition Using High-Density Surface Electromyography
Jirou Feng, Xingce Bao, Won Dong Kim et al. International Conference on Rehabilitation Robotics, 2025. Cites: paper

Medium density EMG armband for gesture recognition
Eisa Aghchehli, Milad Jabbari, Chenfei Ma et al. Frontiers in Neurorobotics, 2025. Cites: paper

A database of upper limb surface electromyogram signals from demographically diverse individuals
Harshavardhana T. Gowda, Neha Kaul, Carlos Daniel Carrasco et al. Scientific Data, 2025. Cites: paper

Hand kinematics, high-density sEMG comprising forearm and far-field potentials for motion intent recognition
Weichao Guo, Zeming Zhao, Zeyu Zhou et al. Scientific Data, 2025. Cites: paper

MyoGPT: Augmenting and segmenting spatial muscle activation patterns in forearm using generative Pre-Trained Transformers
Wei Chen, Lihui Feng, Jihua Lu. Biomedical Signal Processing and Control, 2025. Cites: paper

Understandable time frame-based biosignal processing
Hamed Rafiei, Mohammad-R. Akbarzadeh-T. Biomedical Signal Processing and Control, 2025. Cites: paper

High-density electromyography for effective gesture-based control of physically assistive mobile manipulators
Jehan Yang, Kent Shibata, Douglas J. Weber et al. npj Robotics, 2025. Cites: paper

EMG Biometric Verification Via Disentangled Representations
Tanying Su, Chenyun Dai, Xiao Liu et al. IEEE Transactions on Industrial Informatics, 2025. Cites: paper

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