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Published in 2017 at "Neural Computing and Applications"
DOI: 10.1007/s00521-017-3286-z
Abstract: In this study, two-channel surface electromyography (sEMG) signals were used to classify hand finger movements. Bicoherence analysis of the sEMG signal recorded with surface electrodes for flexor and extensor muscle bundles on the front and…
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Keywords:
two channel;
channel surface;
hand;
finger movements ... See more keywords
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Published in 2022 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/ac4ed1
Abstract: Objective. Accurate decoding of individual finger movements is crucial for advanced prosthetic control. In this work, we introduce the use of Riemannian-space features and temporal dynamics of electrocorticography (ECoG) signal combined with modern machine learning…
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Keywords:
finger movements;
state;
finger;
machine learning ... See more keywords
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Published in 2023 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/acd3b1
Abstract: Objective. Enable neural control of individual prosthetic fingers for participants with upper-limb paralysis. Approach. Two tetraplegic participants were each implanted with a 96-channel array in the left posterior parietal cortex (PPC). One of the participants…
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Keywords:
finger movements;
geometry;
parietal cortex;
cortex ... See more keywords
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Published in 2023 at "Journal of oral rehabilitation"
DOI: 10.1111/joor.13459
Abstract: BACKGROUND Orthognathic surgery has been performed with increasing frequency for the treatment of severe malocclusion, yet the postsurgical neuromuscular recovery of patients has been inadequately studied. OBJECTIVE To investigate the effect of short-term and simple…
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Keywords:
finger movements;
jaw;
orthognathic surgery;
motor ... See more keywords
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Published in 2022 at "Psychophysiology"
DOI: 10.1111/psyp.14116
Abstract: Abstract Using a mirror adequately oriented, the motion of just one hand induces the illusion of the movement with the other hand. Here, we tested the hypothesis that such a mirror phenomenon may be underpinned…
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Keywords:
alpha erd;
finger movements;
mirror;
related desynchronization ... See more keywords
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Published in 2020 at "Sensors and Materials"
DOI: 10.18494/sam.2020.2652
Abstract: Surface electromyography (sEMG) signals can be used in the medical, rehabilitation, robotics, and industrial fields. In this paper, we assess a method of classifying finger movements for dexterous prosthetic hand control. The sEMG signals from…
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Keywords:
finger movements;
control;
surface electromyography;