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Intarsia-sensorized band and textrodes for real-time myoelectric pattern recognition
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016Surface Electromyography (sEMG) has applications in prosthetics, diagnostics and neuromuscular rehabilitation. Self-adhesive Ag/AgCl are the electrodes preferentially used to capture sEMG in short-term studies, however their long-term application is limited.
Shannon Brown +4 more
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Extreme Gradient Boosting for Limb Position Invariant Myoelectric Pattern Recognition
2020 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS), 2020Myoelectric control has a wide range of potential applications including the design of human-machine interfaces for assistive technologies and robotics (prostheses and orthoses) as well as powered exoskeletons. The current work focuses on the Extreme Gradient Boosting - one of the most popular pattern recognition strategies for decoding the information
Suman Samui +3 more
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Myoelectric Pattern Recognition for Use in the Volitional Control of Above-Knee Prostheses
IEEE Transactions on Systems, Man, and Cybernetics, 1981An algorithm through which above-knee (AK) amputees may exercise voluntary and subconscious control of knee flexion and extension with their prosthetic device is presented in this paper. It is hypothesized that spatial patterns of electromyograms (EMG) from muscles above the site of amputation can be separated into groups representing 1) knee flexion ...
Donald R. Myers, Gordon D. Moskowitz
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Real-Time Control of an Exoskeleton Hand Robot with Myoelectric Pattern Recognition
International Journal of Neural Systems, 2017Robot-assisted training provides an effective approach to neurological injury rehabilitation. To meet the challenge of hand rehabilitation after neurological injuries, this study presents an advanced myoelectric pattern recognition scheme for real-time intention-driven control of a hand exoskeleton.
Zhiyuan Lu +4 more
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Myoelectric pattern recognition using dynamic motions with limb position changes
2016 American Control Conference (ACC), 2016Myoelectric pattern recognition discriminates myoelectric signal patterns to recognize human gestures because myoelectric signal exhibits muscular activities of human motions. This technique has been broadly researched for prosthetic devices and human computer interface.
Sungtae Shin +2 more
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Feature evaluation for myoelectric pattern recognition of multiple nearby reaching targets
Medical Engineering & PhysicsIntention detection of the reaching movement is considerable for myoelectric human and machine collaboration applications. A comprehensive set of handcrafted features was mined from windows of electromyogram (EMG) of the upper-limb muscles while reaching nine nearby targets like activities of daily living.
Fatemeh Davarinia, Ali Maleki
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A Novel Framework for Cross-User Open-Set Myoelectric Pattern Recognition
IEEE Transactions on Biomedical EngineeringThis study is aimed to develop a robust myoelectric pattern recognition method for simultaneously alleviating cross-user variability and outlier motion interference.In the proposed method, a convolutional neural network (CNN)-based feature extractor is pre-trained using the data from a set of existing users.
Ge Gao +4 more
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Prothesis Movements Pattern Recognition of Surface Myoelectric Signals
Advanced Science Letters, 2012Cheng Gao +2 more
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