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Tang et al., 2019 - Google Patents

Single-trial classification of different movements on one arm based on ERD/ERS and corticomuscular coherence

Tang et al., 2019

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Document ID
3810198502292855010
Author
Tang Z
Yu H
Lu C
Liu P
Jin X
Publication year
Publication venue
IEEE Access

External Links

Snippet

Electroencephalography (EEG)-based brain-machine interface (BMI) is widely applied to control external devices like a wheel chair or a robotic arm, to restore motor function. EEG is useful to distinguish between left arm and right arm movements, however, it is difficult to …
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Classifications

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    • A61N1/32—Applying electric currents by contact electrodes alternating or intermittent currents
    • A61N1/36—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation, e.g. heart pace-makers
    • A61N1/36014—External stimulators, e.g. with patch electrodes
    • A61N1/36025—External stimulators, e.g. with patch electrodes for treating a mental or cerebral condition
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    • A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/04001—Detecting, measuring or recording bioelectric signals of the body of parts thereof adapted to neuroelectric signals, e.g. nerve impulses
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