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Classification of Different Motor Imagery Tasks with the Same Limb Using Electroencephalographic Signals. [PDF]

open access: yesSensors (Basel)
Kauati-Saito E   +5 more
europepmc   +1 more source

Physics-Informed Attention Temporal Convolutional Network for EEG-Based Motor Imagery Classification

IEEE Transactions on Industrial Informatics, 2023
The brain-computer interface (BCI) is a cutting-edge technology that has the potential to change the world. Electroencephalogram (EEG) motor imagery (MI) signal has been used extensively in many BCI applications to assist disabled people, control devices
Hamdi Altaheri   +2 more
semanticscholar   +1 more source

Graded Motor Imagery

Journal of Hand Therapy, 2011
New information regarding cortical changes in patients with chronic pain has prompted a reevaluation of the typical "bottom up" treatment for pain, which focuses on peripheral nociceptive stimuli. More recently, increasing considerations for chronic pain are focused from the "top down" cortical central processing perspective. Graded motor imagery (GMI)
Victoria W, Priganc, Susan W, Stralka
openaire   +2 more sources

Motor Imagery and Aging

Journal of Motor Behavior, 2013
Motor imagery (MI) is the mental simulation of an action without its actual execution. It has been successfully used through mental practice--the repetition of imagined movements--to optimize motor function either in sport or rehabilitation settings. Healthy elderly individuals facing age-related impairments in motor function could also benefit from ...
Arnaud, Saimpont   +3 more
openaire   +2 more sources

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