Classification complexity in myoelectric pattern recognition [PDF]
Journal of NeuroEngineering and Rehabilitation, 2017 Background Limb prosthetics, exoskeletons, and neurorehabilitation devices can be intuitively controlled using myoelectric pattern recognition (MPR) to decode the subject’s intended movement.
Niclas Nilsson +2 more
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The influence of common component on myoelectric pattern recognition [PDF]
Journal of International Medical Research, 2020 Objective Using the Twente Medical Systems international B.V. (TMSi) electromyography (EMG) system, active signal shielding was applied to clean signals and create data without interference and cable movement artifacts. TMSi, used in high-density surface
Bo Yao +5 more
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Cardinality as a Highly Descriptive Feature in Myoelectric Pattern Recognition for Decoding Motor Volition [PDF]
Frontiers in Neuroscience, 2015 Accurate descriptors of muscular activity play an important role in clinical practice and rehabilitation research. Such descriptors are features of myoelectric signals extracted from sliding time windows.
Max eOrtiz-Catalan +2 more
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Resolving the effect of wrist position on myoelectric pattern recognition control [PDF]
Journal of NeuroEngineering and Rehabilitation, 2017 Background The use of pattern recognition-based methods to control myoelectric upper-limb prostheses has been well studied in individuals with high-level amputations but few studies have demonstrated that it is suitable for partial-hand amputees, who ...
Adenike A. Adewuyi +2 more
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Performance in myoelectric pattern recognition improves with transcranial direct current stimulation [PDF]
Scientific ReportsSensorimotor impairments, resulting from conditions like stroke and amputations, can profoundly impact an individual’s functional abilities and overall quality of life.
Shahrzad Damercheli +3 more
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Rejecting Novel Motions in High-Density Myoelectric Pattern Recognition Using Hybrid Neural Networks [PDF]
Frontiers in Neurorobotics, 2022 The objective of this study is to develop a method for alleviating a novel pattern interference toward achieving a robust myoelectric pattern-recognition control system.
Le Wu, Xun Chen, Xiang Chen, Xu Zhang
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IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 Simultaneous implementation of myoelectric pattern recognition and muscle force estimation is highly demanded in building natural gestural interfaces but a challenging task due to the gesture classification accuracy degradation under varying muscle ...
Xinhui Li +4 more
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Hands-Free Human-Computer Interface Based on Facial Myoelectric Pattern Recognition [PDF]
Frontiers in Neurology, 2019 Patients with no or limited hand function usually have difficulty in using conventional input devices such as a mouse or a touch screen. Having the ability of manipulating electronic devices can give patients full access to the digital world, thereby ...
Zhiyuan Lu, Ping Zhou
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Human-in-the-Loop Myoelectric Pattern Recognition Control of an Arm-Support Robot to Improve Reaching in Stroke Survivors [PDF]
IEEE Transactions on Neural Systems and Rehabilitation EngineeringThe objective of this study was to assess the feasibility and efficacy of using real-time human-in-the-loop pattern recognition-based myoelectric control to control vertical support force or vertical position to improve reach in individuals with chronic ...
Joseph V. Kopke +2 more
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Robust myoelectric pattern recognition methods for reducing users’ calibration burden: challenges and future [PDF]
Frontiers in Bioengineering and BiotechnologyMyoelectric pattern recognition (MPR) has evolved into a sophisticated technology widely employed in controlling myoelectric interface (MI) devices like prosthetic and orthotic robots.
Xiang Wang, Di Ao, Le Li, Le Li
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