A robust, real-time control scheme for multifunction myoelectric control

Englehart, K., Hudgins, B.·2003·IEEE Transactions on Biomedical Engineering
DOI 10.1109/tbme.2003.813539

Cited by (1,000)

Items 301–400 of 1,000

  1. Robustness and Reliability of Synergy-Based Myocontrol of a Multiple Degree of Freedom Robotic Arm
    Francesca Lunardini, Claudia Casellato, Andrea d’Avella, Terence D. Sanger, Alessandra Pedrocchi · 2015 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
  2. Adapting myoelectric control in real-time using a virtual environment
    Richard B. Woodward, Levi J. Hargrove · 2019 · Journal of NeuroEngineering and Rehabilitation
  3. From brain to movement: Wearables-based motion intention prediction across the human nervous system
    Chenyu Tang, Zhenyu Xu, Edoardo Occhipinti, Wentian Yi, Muzi Xu, Sanjeev Kumar, GURVINDER SINGH VIRK, Shuo Gao, Luigi G. Occhipinti · 2023 · Nano Energy
  4. EMG based man–machine interaction—A pattern recognition research platform
    P. Geethanjali, K.K. Ray · 2014 · Robotics and Autonomous Systems
  5. EMG feature assessment for myoelectric pattern recognition and channel selection: A study with incomplete spinal cord injury
    Jie Liu, Xiaoyan Li, Guanglin Li, Ping Zhou · 2014 · Medical Engineering & Physics
  6. Real-Time Upper Limb Motion Estimation From Surface Electromyography and Joint Angular Velocities Using an Artificial Neural Network for Human–Machine Cooperation
    Suncheol Kwon, Jung Kim · 2011 · IEEE Transactions on Information Technology in Biomedicine
  7. Autonomy in Rehabilitation Robotics: An Intersection
    Brenna Argall · 2018 · Annual Review of Control Robotics and Autonomous Systems
  8. Multi-day dataset of forearm and wrist electromyogram for hand gesture recognition and biometrics
    Ashirbad Pradhan, Jiayuan He, Ning Jiang · 2022 · Scientific Data
  9. A Gesture Recognition System Based on Time Domain Features and Linear Discriminant Analysis
    Feng Duan, Xina Ren, Yikang Yang · 2018 · IEEE Transactions on Cognitive and Developmental Systems
  10. On Design and Implementation of Neural-Machine Interface for Artificial Legs
    Xiaorong Zhang, Yuhong Liu, Fan Zhang, Ren Jin, Yan Lindsay Sun, Qing Yang, He Huang · 2011 · IEEE Transactions on Industrial Informatics
  11. The Ninapro database: A resource for sEMG naturally controlled robotic hand prosthetics
    Manfredo Atzori, Henning Müller · 2015 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  12. Accurate EMG onset detection in pathological, weak and noisy myoelectric signals
    Dapeng Yang, Huajie Zhang, Yikun Gu, Hong Liu · 2016 · Biomedical Signal Processing and Control
  13. A Prosthetic Hand Body Area Controller Based on Efficient Pattern Recognition Control Strategies
    Simone Benatti, Bojan Milosevic, Elisabetta Farella, Emanuele Gruppioni, Luca Benini C · 2017 · Sensors
  14. EMG pattern classification to control a hand orthosis for functional grasp assistance after stroke
    Cassie Meeker, Sangwoo Park, Lauri Bishop, Joel M. Stein, Matei Ciocarlie · 2017 · International Conference on Rehabilitation Robotics
  15. Unsupervised Domain Adversarial Self-Calibration for Electromyography-Based Gesture Recognition
    Ulysse Côté‐Allard, Gabriel Gagnon-Turcotte, Angkoon Phinyomark, Kyrre Glette, Erik Scheme, François Laviolette, Benoit J. Gosselin · 2020 · IEEE Access
  16. Locomo-Net: A Low -Complex Deep Learning Framework for sEMG-Based Hand Movement Recognition for Prosthetic Control
    Arvind Gautam, Madhuri Panwar, Archana Wankhede, Sridhar P. Arjunan, Ganesh R. Naik, Amit Acharyya, Dinesh Kumar · 2020 · IEEE Journal of Translational Engineering in Health and Medicine
  17. Improving Human Activity Recognition Performance by Data Fusion and Feature Engineering
    Jingcheng Chen, Yining Sun, Shaoming Sun · 2021 · Sensors
  18. Sliding-Window Normalization to Improve the Performance of Machine-Learning Models for Real-Time Motion Prediction Using Electromyography
    Taichi Tanaka, Isao Nambu, Yoshiko Maruyama, Yasuhiro Wada · 2022 · Sensors
  19. Decoding the grasping intention from electromyography during reaching motions
    Iason Batzianoulis, Nili E. Krausz, Ann M. Simon, Levi J. Hargrove, Aude Billard · 2018 · Journal of NeuroEngineering and Rehabilitation
  20. Classification of Transient Myoelectric Signals for the Control of Multi-Grasp Hand Prostheses
    Gunter Kanitz, Christian Cipriani, Benoni B. Edin · 2018 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
  21. Combined surface and intramuscular EMG for improved real-time myoelectric control performance
    Ernest Nlandu Kamavuako, Erik Scheme, Kevin B. Englehart · 2014 · Biomedical Signal Processing and Control
  22. EMG pattern recognition and grasping force estimation: Improvement to the myocontrol of multi-DOF prosthetic hands
    Dapeng Yang, Jingdong Zhao, Yikun Gu, Li Jiang, Hong Liu · 2009 · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  23. Evaluation of extreme learning machine for classification of individual and combined finger movements using electromyography on amputees and non-amputees
    Khairul Anam, Adel Ali Al-Jumaily · 2016 · Neural Networks
  24. Artificial Perception and Semiautonomous Control in Myoelectric Hand Prostheses Increases Performance and Decreases Effort
    Jérémy Mouchoux, Stefano Carisi, Strahinja S. Dosen, Dario Farina, Arndt Friedrich Schilling, Marko Marković · 2021 · IEEE Transactions on Robotics
  25. A Systematic Study on Electromyography-Based Hand Gesture Recognition for Assistive Robots Using Deep Learning and Machine Learning Models
    Pranesh Gopal, Amandine Gesta, Abolfazl Mohebbi · 2022 · Sensors
  26. Electromyography Pattern-Recognition-Based Control of Powered Multifunctional Upper-Limb Prostheses
    Guanglin Li · 2011 · InTech eBooks
  27. Design and Optimization of Levenberg-Marquardt based Neural Network Classifier for EMG Signals to Identify Hand Motions
    Muhammad Ibn Ibrahimy, Md. Rezwanul Ahsan, Othman Omran Khalifa · 2013 · Measurement Science Review
  28. Adaptive myoelectric pattern recognition toward improved multifunctional prosthesis control
    Jie Liu · 2015 · Medical Engineering & Physics
  29. DYNAMIC HAND MOTION RECOGNITION BASED ON TRANSIENT AND STEADY-STATE EMG SIGNALS
    Dapeng Yang, Jingdong Zhao, Li Jiang, Hong Liu · 2012 · International Journal of Humanoid Robotics
  30. A Wearable Gait Phase Detection System Based on Force Myography Techniques
    Xianta Jiang, Kelvin H.T. Chu, Mahta Khoshnam, Carlo Menon · 2018 · Sensors
  31. Stretchable e-Skin Patch for Gesture Recognition on the Back of the Hand
    Shuo Jiang, Ling Li, Haipeng Xu, Junkai Xu, Guoying Gu, Peter Bradley Shull · 2019 · IEEE Transactions on Industrial Electronics
  32. Biometric From Surface Electromyogram (sEMG): Feasibility of User Verification and Identification Based on Gesture Recognition
    Jiayuan He, Ning Jiang · 2020 · Frontiers in Bioengineering and Biotechnology
  33. A Multimodal Framework Based on Integration of Cortical and Muscular Activities for Decoding Human Intentions About Lower Limb Motions
    Chengkun Cui, Gui‐Bin Bian, Zeng‐Guang Hou, Jun Ye Zhao, Hao Zhou · 2017 · IEEE Transactions on Biomedical Circuits and Systems
  34. Towards Efficient Decoding of Multiple Classes of Motor Imagery Limb Movements Based on EEG Spectral and Time Domain Descriptors
    Oluwarotimi Williams Samuel, Yanjuan Geng, Xiangxin Li, Guanglin Li · 2017 · Journal of Medical Systems
  35. Real-time robustness evaluation of regression based myoelectric control against arm position change and donning/doffing
    Han-Jeong Hwang, Janne Mathias Hahne, Klaus‐Robert Müller · 2017 · PLoS ONE
  36. A Wearable Ultrasound Interface for Prosthetic Hand Control
    Zongtian Yin, Hanwei Chen, Xingchen Yang, Yifan Liu, Ning Zhang, Jianjun Meng, Honghai Liu · 2022 · IEEE Journal of Biomedical and Health Informatics
  37. Continuous Prediction of Human Joint Mechanics Using EMG Signals: A Review of Model-Based and Model-Free Approaches
    Soumitra P. Sitole, Frank C. Sup · 2023 · IEEE Transactions on Medical Robotics and Bionics
  38. A Novel Unsupervised Adaptive Learning Method for Long-Term Electromyography (EMG) Pattern Recognition
    Qi Huang, Dapeng Yang, Li Jiang, Huajie Zhang, Hong Liu, Kiyoshi Kotani · 2017 · Sensors
  39. Deep Learning Movement Intent Decoders Trained With Dataset Aggregation for Prosthetic Limb Control
    Henrique Dantas, David J. Warren, Suzanne Wendelken, Tyler S. Davis, Gregory A. Clark, V.J. Mathews · 2019 · IEEE Transactions on Biomedical Engineering
  40. Surface EMG-Based Instantaneous Hand Gesture Recognition Using Convolutional Neural Network with the Transfer Learning Method
    Zhipeng Yu, Jianghai Zhao, Yucheng Wang, Linglong He, Shaonan Wang · 2021 · Sensors
  41. Real-Time Classification of EMG Myo Armband Data Using Support Vector Machine
    Cengiz Tepe, Mehmet Can DEMİR · 2022 · IRBM
  42. Applied Exoskeleton Technology: A Comprehensive Review of Physical and Cognitive Human–Robot Interaction
    Farhad Nazari, Navid Mohajer, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi · 2023 · IEEE Transactions on Cognitive and Developmental Systems
  43. Prediction of finger kinematics from discharge timings of motor units: implications for intuitive control of myoelectric prostheses
    Chen Chen, Guohong Chai, Weichao Guo, Xinjun Sheng, Dario Farina, Xiangyang Zhu · 2018 · Journal of Neural Engineering
  44. A Study of Movement Classification of the Lower Limb Based on up to 4-EMG Channels
    Diana Carolina Toledo-Pérez, Miguel Angel Martinez Prado, Roberto Augusto Gómez-Loenzo, Wilfrido Jacobo Paredes-García, Juvenal Rodríguez‐Reséndiz · 2019 · Electronics
  45. Towards resolving the co-existing impacts of multiple dynamic factors on the performance of EMG-pattern recognition based prostheses
    Mojisola Grace Asogbon, Oluwarotimi Williams Samuel, Yanjuan Geng, Olugbenga Oluseun Oluwagbemi, Ning Ji, Shixiong Chen, Ganesh R. Naik, Feng Pang, Guanglin Li · 2019 · Computer Methods and Programs in Biomedicine
  46. Hand Gesture Recognition Using EMG-IMU Signals and Deep Q-Networks
    Vásconez, Juan Pablo, Barona López, Lorena Isabel, Valdivieso Caraguay, Ángel Leonardo, Benalcázar, Marco E. · 2022 · Sensors
  47. Classifying the intent of novel users during human locomotion using powered lower limb prostheses
    Young, Aaron J., Simon, Ann M., Fey, Nicholas P., Hargrove, Levi J. · 2013 · 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER)
  48. An EMG-based approach for on-line predicted torque control in robotic-assisted rehabilitation
    Claudio Loconsole, Stefano Dettori, Antonio Frisoli, Carlo Alberto Avizzano, Massimo Bergamasco · 2014 · IEEE Haptics Symposium
  49. A Review on Upper-Limb Myoelectric Prosthetic Control
    Nisheena V. Iqbal, Kamalraj Subramaniam, P. Shaniba Asmi · 2017 · IETE Journal of Research
  50. Enhanced Performance for Multi-Forearm Movement Decoding Using Hybrid IMU–sEMG Interface
    Waseem Shahzad, Yasar Ayaz, Muhammad Jawad Khan, Noman Naseer, Mushtaq Khan · 2019 · Frontiers in Neurorobotics
  51. Eliminating cardiac contamination from myoelectric control signals developed by targeted muscle reinnervation
    Ping Zhou, Todd Kuiken · 2006 · Physiological Measurement
  52. An empirical study of players’ emotions in VR racing games based on a dataset of physiological data
    Marco Granato, Davide Gadia, Dario Maggiorini, Laura Anna Ripamonti · 2020 · Multimedia Tools and Applications
  53. CES-513 Stages for Developing Control Systems using EMG and EEG Signals: A survey
    Ericka Janet Rechy-Ramirez, Huosheng Hu · 2011 · Open Access at Essex (University of Essex)
  54. Upper-limb prosthetic control using wearable multichannel mechanomyography
    Samuel Wilson, Ravi Vaidyanathan · 2017 · International Conference on Rehabilitation Robotics
  55. A Learning Scheme for EMG Based Decoding of Dexterous, In-Hand Manipulation Motions
    Anany Dwivedi, Yongje Kwon, Andrew McDaid, Minas V. Liarokapis · 2019 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
  56. Grasp force estimation from the transient EMG using high-density surface recordings
    Itzel Jared Rodríguez Martínez, Andrea Mannini, Francesco Clemente, Angelo Maria Sabatini, Christian Cipriani · 2020 · Journal of Neural Engineering
  57. Machine Learning Model Comparisons of User Independent & Dependent Intent Recognition Systems for Powered Prostheses
    Krishan Bhakta, Jonathan Camargo, Luke Donovan, Kinsey R. Herrin, Aaron J. Young · 2020 · IEEE Robotics and Automation Letters
  58. Simultaneous, Proportional, Multi-axis Prosthesis Control using Multichannel Surface EMG
    Dimitri Yatsenko, Daniel McDonnall, K. Shane Guillory · 2007 · Conference proceedings
  59. A characterization of the effect of limb position on EMG features to guide the development of effective prosthetic control schemes
    Ashkan Radmand, Erik Scheme, Kevin B. Englehart · 2014 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  60. Surface Electromyography Image-Driven Torque Estimation of Multi-DoF Wrist Movements
    Yang Yu, Chen Chen, Jiamin Zhao, Xinjun Sheng, Xiangyang Zhu · 2021 · IEEE Transactions on Industrial Electronics
  61. A Myoelectric Control Interface for Upper-Limb Robotic Rehabilitation Following Spinal Cord Injury
    Craig G. McDonald, Jennifer L. Sullivan, Troy A. Dennis, Marcia K. O’Malley · 2020 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
  62. Real-Time and Offline Performance of Pattern Recognition Myoelectric Control Using a Generic Electrode Grid With Targeted Muscle Reinnervation Patients
    Dennis C. Tkach, Aaron J. Young, Lauren H. Smith, Elliott Jay Rouse, Levi J. Hargrove · 2014 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
  63. Fully embedded myoelectric control for a wearable robotic hand orthosis
    Franziska Ryser, Tobias Bützer, Jeremia P. O. Held, Olivier Lambercy, Roger Gassert · 2017 · International Conference on Rehabilitation Robotics
  64. Myoelectric control with abstract decoders
    Dyson M, Jessica Barnes, Kianoush Nazarpour · 2018 · Journal of Neural Engineering
  65. Evaluating Internal Model Strength and Performance of Myoelectric Prosthesis Control Strategies
    Ahmed W. Shehata, Erik Scheme, Jonathon W. Sensinger · 2018 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
  66. Real-Time Recognition of Facial Expressions Using Facial Electromyograms Recorded Around the Eyes for Social Virtual Reality Applications
    Ho‐Seung Cha, Seongjun Choi, Chang‐Hwan Im · 2020 · IEEE Access
  67. Review on electromyography based intention for upper limb control using pattern recognition for human-machine interaction
    Asghar Ali, Saad Jawaid Khan, Fahad Azim, Choudhary Sobhan Shakeel, Amatullah Hussain, Imran Khan Niazi · 2022 · Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine
  68. Decoding upper limb residual muscle activity in severe chronic stroke
    Ander Ramos‐Murguialday, Eliana García‐Cossio, Armin Walter, Woosang Cho, Doris Broetz, Martin Bogdan, Leonardo G. Cohen, Niels Birbaumer · 2014 · Annals of Clinical and Translational Neurology
  69. Assessing fractal dimension methods as feature extractors for EMG signal classification
    André L. V. Coelho, Clodoaldo A. M. Lima · 2014 · Engineering Applications of Artificial Intelligence
  70. Neural signal recording and processing in somatic neuroprosthetic applications. A review
    Staniša Raspopović, Andrea Cimolato, Alessandro Panarese, Fabio Vallone, Jaume del Valle, Silvestro Micera, Xavier Navarro · 2020 · Journal of Neuroscience Methods
  71. Are armband sEMG devices dense enough for long-term use?—Sensor placement shifts cause significant reduction in recognition accuracy
    Suguru Kanoga, Atsunori Kanemura, Hideki Asoh · 2020 · Biomedical Signal Processing and Control
  72. A review of terrain detection systems for applications in locomotion assistance
    Ali H. A. Aldabbagh, Renaud Ronsse · 2020 · Robotics and Autonomous Systems
  73. Toward an Integrated Multi-Modal sEMG/MMG/NIRS Sensing System for Human–Machine Interface Robust to Muscular Fatigue
    Xinjun Sheng, Xuecong Ding, Weichao Guo, Lei Hua, Mian Wang, Xiangyang Zhu · 2020 · IEEE Sensors Journal
  74. Evoking natural thermal perceptions using a thin-film thermoelectric device with high cooling power density and speed
    Luke E. Osborn, R. Venkatasubramanian, Meiyong Himmtann, Courtney W. Moran, Jonathan M. Pierce, Priya Gajendiran, Jared Maxwell Wormley, Richard J. Ung, Harrison H. Nguyen, Adam C. G. Crego et al. · 2023 · Nature Biomedical Engineering
  75. A Wearable Human–Machine-Interface (HMI) System Based on Colocated EMG-pFMG Sensing for Hand Gesture Recognition
    Shen Zhang, Hao Zhou, Rayane Tchantchane, Gürsel Alıcı · 2024 · IEEE/ASME Transactions on Mechatronics
  76. Thick-film force, slip and temperature sensors for a prosthetic hand
    Andy Cranny, Darryl P. J. Cotton, Paul H. Chappell, Steve Beeby, Neil M. White · 2005 · Measurement Science and Technology
  77. Enhanced EMG signal processing for simultaneous and proportional myoelectric control
    Johnny L G Nielsen, S. Holmgaard, Ning Jiang, Kevin B. Englehart, Dario Farina, Patricia K. Parker · 2009 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  78. Accurate recognition of lower limb ambulation mode based on surface electromyography and motion data using machine learning
    Bin Zhou, Hong Wang, Fo Hu, Naishi Feng, Hailong Xi, Zhihan Zhang, Hao Tang · 2020 · Computer Methods and Programs in Biomedicine
  79. Neuro-Fuzzy Surface EMG Pattern Recognition For Multifunctional Hand Prosthesis Control
    Mahdi Khezri, Mehran Jahed, Nasser Sadati · 2007 · IEEE International Symposium on Industrial Electronics (ISIE)
  80. Cascaded Adaptation Framework for Fast Calibration of Myoelectric Control
    Xiangyang Zhu, Jianwei Liu, Dingguo Zhang, Xinjun Sheng, Ning Jiang · 2016 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
  81. Hand Gesture Recognition Based on Deep Learning Method
    Kai Xing, Zhen Ding, Shuai Jiang, Xueyan Ma, Kai Yang, Chifu Yang, Xiang Li, Feng Jiang · 2018 · IEEE International Conference on Data Science in Cyberspace
  82. Open Database for Accurate Upper-Limb Intent Detection Using Electromyography and Reliable Extreme Learning Machines
    Vinícius Horn Cene, Maurício Cagliari Tosin, Juliano Costa Machado, Alexandre Balbinot · 2019 · Sensors
  83. Air-Guitar Hero: A real-time video game interface for training and evaluation of dexterous upper-extremity neuroprosthetic control algorithms
    Robert S. Armiger, R. Jacob Vogelstein · 2008 · IEEE Biomedical Circuits and Systems Conference (BioCAS)
  84. An Alternative Myoelectric Pattern Recognition Approach for the Control of Hand Prostheses: A Case Study of Use in Daily Life by a Dysmelia Subject
    Mastinu, Enzo, Ahlberg, Johan, Lendaro, Eva, Hermansson, Liselotte, Hakansson, Bo, Ortiz-Catalan, Max · 2018 · IEEE Journal of Translational Engineering in Health and Medicine
  85. Human lower limb activity recognition techniques, databases, challenges and its applications using sEMG signal: an overview
    Ankit Vijayvargiya, Bharat Singh, Rajesh Kumar, João Manuel R. S. Tavares · 2022 · Biomedical Engineering Letters
  86. Terrain and Direction Classification of Locomotion Transitions Using Neuromuscular and Mechanical Input
    Deepak Joshi, Michael E. Hahn · 2015 · Annals of Biomedical Engineering
  87. A new framework for classification of multi-category hand grasps using EMG signals
    Firas Sabar Miften, Mohammed Diykh, Shahab Abdulla, Siuly Siuly, Jonathan H. Green, Ravinesh Chand Deo · 2020 · Artificial Intelligence in Medicine
  88. Proposal of a Wearable Multimodal Sensing-Based Serious Games Approach for Hand Movement Training After Stroke
    Song, Xinyu, van de Ven, Shirdi Shankara, Chen, Shugeng, Kang, Peiqi, Gao, Qinghua, Jia, Jie, Shull, Peter B. · 2022 · Frontiers in Physiology
  89. Metric Learning for Robust Gait Phase Recognition for a Lower Limb Exoskeleton Robot Based on sEMG
    Jiaqing Liu, Can Wang, Bailin He, P. Li, Xinyu Wu · 2022 · IEEE Transactions on Medical Robotics and Bionics
  90. Surface EMG feature disentanglement for robust pattern recognition
    Jiahao Fan, Xinyu Jiang, Xiangyu Liu, Long Meng, Fumin Jia, Chenyun Dai · 2023 · Expert Systems with Applications
  91. Myoelectric training systems
    Michael R. W. Dawson, Jason P. Carey, Farbod Fahimi · 2011 · Expert Review of Medical Devices
  92. The Effect of ECG Interference on Pattern-Recognition-Based Myoelectric Control for Targeted Muscle Reinnervated Patients
    Levi J. Hargrove, Ping Zhou, Kevin B. Englehart, Todd Kuiken · 2008 · IEEE Transactions on Biomedical Engineering
  93. Real-time mode recognition based assistive torque control of bionic knee exoskeleton for sit-to-stand and stand-to-sit transitions
    Xiuhua Liu, Zhihao Zhou, Jingeng Mai, Qining Wang · 2019 · Robotics and Autonomous Systems
  94. Extraction and Classification of Multichannel Electromyographic Activation Trajectories for Hand Movement Recognition
    Meena AbdelMaseeh, Tsu‐Wei Chen, Daniel William Stashuk · 2015 · IEEE Transactions on Neural Systems and Rehabilitation Engineering
  95. Design Considerations for Wireless Acquisition of Multichannel sEMG Signals in Prosthetic Hand Control
    Davide Brunelli, Elisabetta Farella, Davide Giovanelli, Bojan Milosevic, Ivan Minakov · 2016 · IEEE Sensors Journal
  96. Knee Exoskeleton Assistive Torque Control Based on Real-Time Gait Event Detection
    Dongfang Xu, Xiuhua Liu, Qining Wang · 2019 · IEEE Transactions on Medical Robotics and Bionics
  97. Surface EMG Decoding for Hand Gestures Based on Spectrogram and CNN-LSTM
    Dawei Huang, Badong Chen · 2019 · China Symposium on Cognitive Computing and Hybrid Intelligence (CCHI)
  98. EMG Characterization and Processing in Production Engineering
    Manuel del Olmo, Rosario Domingo · 2020 · Materials
  99. Stationarity distributions of mechanomyogram signals from isometric contractions of extrinsic hand muscles during functional grasping
    Natasha Alves, Tom T. Chau · 2007 · Journal of Electromyography and Kinesiology
  100. Two-Dimensional Cursor-to-Target Control From Single Muscle Site sEMG Signals
    Claudia Perez-Maldonado, Anthony S. Wexler, Sanjay S. Joshi · 2010 · IEEE Transactions on Neural Systems and Rehabilitation Engineering