EMG feature evaluation for movement control of upper extremity prostheses

Zardoshti-Kermani, M., Wheeler, B.C., Badie, K., Hashemi, R.M.·1995·IEEE Transactions on Rehabilitation Engineering

Cited by (478)

Items 301–400 of 478

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    Hsiu-Jen Liu, Kuu‐Young Young · 2010 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
  2. A Novel Feature Extraction Scheme for Myoelectric Signals Classification Using Higher Order Statistics
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  3. Influence of electrode placement on the recognition of different gesture categories using high-density sEMG
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  4. Effects of prosthesis use on the capability to control myoelectric robotic prosthetic hands
    Manfredo Atzori, Anne-Gabrielle Mittaz Hager, Simone Elsig, Giorgio Giatsidis, Franco Bassetto, Henning Müller · 2015 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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  8. Surface electromyogram signals classification based on bispectrum
    Eugenio Conrado Orosco, Natalia M. López, C Soria, Fernando A di Sciascio · 2010 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  9. Pattern recognition Of finger-motions based on diffusion maps and fuzzy K-nearest Neighbor classifier
    Zhongjian Song, Qing Hui Wu, Chunming Xia · 2012 · International Conference on Signal Processing
  10. 3D continuos hand motion reconstruction from dual EEG and EMG recordings
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  11. Walking Activity Recognition with sEMG Sensor Array on Thigh Circumference using Convolutional Neural Network
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  12. Sensor Selection With Composite Features in Identifying User-Intended Poses for Human-Prosthetic Interfaces
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  13. Spectral and mathematical evaluation of electromyography signals for clinical use
    Karan Veer · 2016 · International Journal of Biomathematics
  14. A new proposal for time domain features of EMG signal on individual basis over conventional space
    Vineet Kumar · 2017 · International Conference on Signal Processing, Computing and Control (ISPCC)
  15. Walking Phase Recognition for People with Lower Limb Disability
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  16. Modified adaptive resonance theory based control strategy for EMG operated prosthesis for below-elbow amputee
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  17. Finger movements classification from grasping spherical objects with surface electromyography using time domain based features
    Guadalupe A. Torres, Victor H. Benítez · 2016
  18. Comparative Study of Segmentation and Feature Extraction Method on Finger Movement
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  19. Split-Stack 2D-CNN for Hand Gestures Recognition Based on Surface EMG Decoding
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  20. A machine learning approach to aid paralysis patients using EMG signals
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  21. Leveraging Machine Learning for Signal Processing in Surface Electromyography (sEMG) for Prosthetic Control
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  22. A NMF-Based Non-Euclidean Adaptive Feature Extraction Scheme for Limb Motion Pattern Decoding in Pattern Recognition System
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  23. A Novel Prosthetic Hand Classification Approach Using LibSVM Classification Method
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  24. Feature extraction of wavelet transform coefficients for sEMG classification
    T. Puttasakuf, Manas Sangworasil, T. Matsuura · 2014 · Biomedical Engineering International Conference
  25. Review of Electromyography Control Systems Based on Pattern Recognition for Prosthesis Control Application
    Siti Anom Ahmad, Asnor Juraiza Ishak, Sawal Hamid Md Ali, Paul H. Chappell · 2011 · Universiti Putra Malaysia Institutional Repository (Universiti Putra Malaysia)
  26. A fast and highly accurate EMG signal classification approach for multifunctional prosthetic fingers control
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  27. Classification Methods of sEMG Through Weighted Representation-Based K-Nearest Neighbor
    Shuai Pan, Jing Jie, Kairui Liu, Jinrong Li, Hui Ping Zheng · 2019 · Lecture notes in computer science
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  29. Delaying feedback during pre-device training facilitates the retention of novel myoelectric skills: a laboratory and home-based study
    Simon A. Stuttaford, Sigrid S. G. Dupan, Kianoush Nazarpour, Dyson M · 2023 · Journal of Neural Engineering
  30. Genetic algorithm based optimization for EMG pattern recognition system
    Peter Fischer, Tito G. Amaral, Octavio Pascoa Dias, Andrzej R. Wołczowski, Maciej Lichtenstein · 2009 · IFAC Proceedings Volumes
  31. Classification of ADLs using muscle activation waveform versus thirteen EMG features
    Payman Azaripasand, Ali Maleki, Ali Fallah · 2015 · National and International Iranian Conference on Biomedical Engineering (ICBME)
  32. A 3D-Printed, Adjustable Armband for Electromyography-Based Finger Movement Classification With Haptic Feedback
    Michelle Wang, Miasya Bulger, Yue Hong Dai, Kira Noel, Christopher Axon, Anna M. Brandenberger, Stephen Fay, Zenghao Gao, Saskia Gilmer, Jad Hamdan et al. · 2020 · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics
  33. EMG signal classification using neural network with AR model coefficients
    João Pedro Tomaszewski, Tito G. Amaral, Octavio Pascoa Dias, Andrzej R. Wołczowski, Marek W. Kurzynski · 2009 · IFAC Proceedings Volumes
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    David Costa, Carlos Duarte · 2015 · ACM International Conference on Intelligent User Interfaces (IUI)
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    Michela Di Girolamo, Alain Favetto, Marco Paleari, Nicolò Celadon, Paolo Ariano · 2017 · Informatics in Medicine Unlocked
  36. An intelligent prosthetic hand using hybrid actuation and myoelectric control.
    Beng Guey Lau · 2009 · White Rose eTheses Online (University of Leeds, The University of Sheffield, University of York)
  37. Myoelectric Signal Processing for Prosthesis Control
    David Hofmann · 2015
  38. Feature extraction techniques for grasp classification.
    Rodney Bruce Elliott · 1998 · UC Research Repository (University of Canterbury)
  39. Multifunctional Prosthesis Control: The Effects of Targeting Surface vs. Intramuscular Electrodes on Classification Accuracy and the Effect of Controller Delay on Prosthesis Performance
    Todd R. Farrell · 2007
  40. Surface electromyography evaluation for decoding hand motor intent in children with congenital upper limb deficiency
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  44. Classification of EMG signals to control a prosthetic hand using time-frequesncy representations and Support Vector Machines
    Juan Manuel Fontana · 2010
  45. Realization of robust real time robotic arm control system based on EMG signal
    Tasawan Puttasakul, Manas Sangworasil, T. Matsuura · 2015 · Biomedical Engineering International Conference
  46. Development of an Electromyography-Based Hand Gesture Recognition System for Upper Extremity Prostheses
    Besma Bessekri, Malika Kedir-Talha, Hadjer Zairi, Benlounis Yasmina, Amrani Sarra, Escid Hammoudi · 2019 · International Conference on Image and Signal Processing and their Applications (ISPA)
  47. Asymmetric Effects of Different Training-Testing Mismatch Types on Myoelectric Regression via Deep Learning
    Eric Cito Becman, Larissa Driemeier, Oron Levin, Stephan Patrick Swinnen, Arturo Forner‐Cordero · 2023 · IEEE Journal of Biomedical and Health Informatics
  48. Lower Limb EMG Signal Analysis Using Scattering Transform and Support Vector Machine for Various Walking Conditions
    V M Akhil, Rahul Satheesh, M. Ashmi, Charbel Tawk · 2023 · IEEE Access
  49. Evaluation of EMG features of trunk muscles during flexed postures
    Mohsen Naji, Mohammad Firoozabadi, Sedighe Kahrizi · 2012 · National and International Iranian Conference on Biomedical Engineering (ICBME)
  50. Rehabilitation Robotic Prostheses for Upper Extremity
    Han‐Pang Huang, Yi‐Hung Liu, Wei-chen Lee, Jiun‐Yih Kuan, Tzu-Hao Huang · 2015 · Wiley eBooks
  51. Sampling frequency and pass-band frequency effects on neuromuscular signals (EMG) recognition
    Abdelhafid Zeghbib, Frank Palis, Nicola Shoylev, Valeri Mladenov, Nikos E. Mastorakis · 2007
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  54. Application of wavelet packet transform on myoelectric pattern recognition for upper limb rehabilitation after stroke
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    Gaurav N. Pradhan, Balakrishnan Prabhakaran · 2012 · ACM Transactions on Embedded Computing Systems
  60. A multimedia system for augmented sensory assessment and treatment of motor disabilities
    Richard H. Eckhouse, Ruth A. Maulucci · 1997 · Telematics and Informatics
  61. Hand motion reconstruction using EEG and EMG
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  62. Grasping Pattern Recognition and Grasping Force Estimation For Prosthetic Hands
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  63. EMG-based energy expenditure optimization for active prosthetic leg tuning
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  72. Soft Bioelectronic Interfaces for Continuous Peripheral Neural Signal Recording and Robust Cross‐Subject Decoding
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  85. MLPNN and kNN Based Classification of sEMG Signal for Myoelectric Control of Upper Limb Prosthesis
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  87. Pattern Recognition and Robotics
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  90. Physiologic Approach for Control of Hand Prostheses
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