NeuraLoop: a high bandwidth closed-loop human-machine interface. [PDF]
J Neuroeng RehabilPelaez Murciego L +6 more
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Assessment of artificial intelligence-based control algorithms to be implemented in an affordable transradial myoelectric prosthesis. [PDF]
Sci RepGarcia JG +6 more
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A Single-Source Dual-Drive Flexible Knee Assistive Exoskeleton for Elderly Daily Locomotion. [PDF]
Cyborg Bionic SystZhang S +5 more
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EMG feature evaluation for improving myoelectric pattern recognition robustness
Expert Systems With Applications, 2013 In pattern recognition-based myoelectric control, high accuracy for multiple discriminated motions is presented in most of related literature. However, there is a gap between the classification accuracy and the usability of practical applications of myoelectric control, especially the effect of long-term usage.
Angkoon Phinyomark +1 more
exaly +5 more sources
Guiding the Training of Users With a Pattern Similarity Biofeedback to Improve the Performance of Myoelectric Pattern Recognition [PDF]
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2020 Next generation prosthetics will rely massively on myoelectric "Pattern Recognition" (PR) based control approaches, to improve their users' dexterity. One major identified factor of successful functioning of these approaches lies in the training of amputees and in their understanding of how those prosthetics works.
BAILLY Kevin +2 more
exaly +4 more sources
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Myoelectric pattern recognition of hand motions for stroke rehabilitation
Biomedical Signal Processing and Control, 2020Abstract Stroke is the fourth most common cause of death and can lead complex and long-term disability. In this regard, robotic-based rehabilitation could be an alternative for motion recovery. In this research we study how myoelectric signals (EMG) could be used to identify the fingers/hand motion through pattern recognition techniques.
Jenny C. Castiblanco +5 more
openaire +1 more source
Confidence-Based Rejection for Improved Pattern Recognition Myoelectric Control
IEEE Transactions on Biomedical Engineering, 2013This study describes a novel myoelectric control scheme that is capable of motion rejection. As an extension of the commonly used linear discriminant analysis (LDA), this system generates a confidence score for each decision, providing the ability to reject those with a score below a selected threshold. The thresholds are class-specific and affect only
Erik Scheme, Kevin B Englehart
exaly +3 more sources
Online myoelectric pattern recognition based on hybrid spatial features
Biomedical Signal Processing and Control, 2021Abstract Although Electromyography (EMG) signals are sources of neural information that are essential in controlling the prosthetic hand, many confounding factors caused the variation of EMG signals properties over time. These factors degraded the performance of myoelectric prosthesis and made it unstable over time, across subjects and sessions such ...
Hanadi Abbas Jaber +2 more
openaire +1 more source
Forearm Orientation Invariant Analysis for Surface Myoelectric Pattern Recognition
2020 IEEE International Symposium on Smart Electronic Systems (iSES) (Formerly iNiS), 2020In this work, we have performed a forearm orientation invariant analysis for artificial wrist movement classification on a specific subject using the surface electromyography (sEMG) signal. The muscle contraction effect has been included to incorporate the variation in force levels by the subject user.
Anand Kumar Mukhopadhyay +2 more
openaire +1 more source