IEEE Transactions on Biomedical Engineering

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Hybrid Tongue – Myoelectric Control Improves Functional Use of a Robotic Hand Prosthesis
To achieve increased clinical impact with myoelectric upper limb prostheses, control schemes need to effectively perform different grasping actions and simple manipulation tasks enabling the execution of Activities of Daily Living (ADL). In this comparative study we demonstrate, that a control scheme allowing for direct activation of grasps using a tongue interface, and proportional control of opening and closing using two EMG signals, can be an attractive method for providing enhanced control of multifunctional prosthetic hands. This was shown using functional evaluation focusing on the completion of ADL tasks characterised by bimanual activities, which are particularly challenging for prostheses users... Read more
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Improved High-density Myoelectric Pattern Recognition Control Against Electrode Shift Using Data Augmentation and Dilated Convolutional Neural NetworkT
The objective of this work is to develop a robust method for myoelectric control towards alleviating the in-terference of electrode shift. Methods: In the proposed method, a preprocessing approach was first performed to convert high-den-sity surface electromyogram (HD-sEMG) signals into a series of images, and the electrode shift appeared as pixel shift in these im-ages... Read more
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Should Hands Be Restricted When Measuring Able-Bodied Participants to Evaluate Machine Learning Controlled Prosthetic Hands?
When evaluating methods for machine-learning controlled prosthetic hands, able-bodied participants are often recruited, for practical reasons, instead of participants with upper limb absence (ULA). However, able-bodied participants have been shown to often perform myoelectric control tasks better than participants with ULA... Read more
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Learning, Generalization, and Scalability of Abstract Myoelectric Control
Motor learning-based methods offer an alternative paradigm to machine learning-based methods for controlling upper-limb prosthetics. Within this paradigm, the patterns of muscular activity used for control can differ from those which control biological limbs... Read more
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Evaluation of Computer-Based Target Achievement Tests for Myoelectric Control
   Real-time evaluation of novel prosthetic control schemes is critical for translational research on artificial limbs. Recently, two computer-based, real-time evaluation tools, the target achievement control (TAC) test and the Fitts’ law test (FLT), have been proposed to assess real-time controllability.... Read more
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Locomotor Adaptation by Transtibial Amputees Walking With an Experimental Powered Prosthesis Under Continuous Myoelectric Control
Lower limb amputees can use electrical activity from their residual muscles for myoelectric control of a powered prosthesis. The most common approach for myoelectric control is a finite state controller that identifies behavioral states and discrete changes in motor tasks.... Read more
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The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges
Farina, D. ; Jiang, N. ; Rehbaum, H. ; Holobar, A. ; Graimann, B. ; Dietl, H. ; Aszmann, O.C. Abstract Despite not recording directly from neural cells, the surface electromyogram (EMG) signal contains information on the neural drive to muscles, i.e,... Read more
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Dexterous Control of a Prosthetic Hand Using Fine-Wire Intramuscular Electrodes in Targeted Extrinsic Muscles
Cipriani, C. ; Segil, J. L. ; Birdwell, A. J. ; Weir, R. F ACCESS PAPER DATA READ FULL ARTICLE ON IEEE XPLORE Abstract Restoring dexterous motor function equivalent to that of the human hand after amputation is one of the major goals in... Read more