Results 201 to 210 of about 1,869,163 (244)

Electroencephalography-based motor imagery classification using temporal convolutional network fusion

Biomedical Signal Processing and Control, 2021
Motor imagery electroencephalography (MI-EEG) signals are generated when a person imagines a task without actually performing it. In recent studies, MI-EEG has been used in the rehabilitation process of paralyzed patients, therefore, decoding MI-EEG ...
Yazeed K. Musallam, Nasser I. AlFassam, Muhammad Ghulam, S. Amin, M. Alsulaiman, Wadood Abdul, Hamdi Altaheri, M. Bencherif, Mohammed Algabri   +8 more
semanticscholar   +1 more source

Using motor imagery practice for improving motor performance - A review.

Brain and Cognition, 2021
Motor imagery practice is a current trend, but there is a need for a systematic integration of neuroscientific advances in the field. In this review, we describe the technique of motor imagery practice and its neural representation, considering different
A. M. Ladda, F. Lebon, M. Lotze
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

Action Observation and Motor Imagery Improve Dual Task in Parkinson's Disease: A Clinical/fMRI Study

Movement Disorders, 2021
Action observation training and motor imagery may improve motor learning in Parkinson's disease (PD).
E. Sarasso, F. Agosta, Noemi Piramide, A. Gardoni, E. Canu, Michela Leocadi, Veronica Castelnovo, S. Basaia, A. Tettamanti, M. Volontè, M. Filippi   +10 more
semanticscholar   +1 more source

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, Francine, Malouin, Béatrice, Tousignant, Philip L, Jackson   +3 more
openaire   +2 more sources

Ensemble Regularized Common Spatio-Spectral Pattern (ensemble RCSSP) model for motor imagery-based EEG signal classification

Comput. Biol. Medicine, 2021
The Brain-Computer interface system provides a communication path among the brain and computer, and recently, it is the subject of increasing attention. One of the most common paradigms of BCI systems is motor imagery.
Mohammad Norizadeh Cherloo, H. Amiri, M. Daliri   +2 more
semanticscholar   +1 more source

Motor imagery: The relation between age and imagery capacity

Human Movement Science, 2007
The imagination of motor actions forms not only a theoretical challenge for cognitive neuroscience but may also be seen as a novel therapeutic tool in neurological rehabilitation, in that it can be used for relearning motor control after damage to the motor system.
Mulder, Th., Hochstenbach, J. B. H., van Heuvelen, M. J. G., den Otter, A. R.   +3 more
openaire   +3 more sources

HS-CNN: a CNN with hybrid convolution scale for EEG motor imagery classification

Journal of Neural Engineering, 2020
Objective. Electroencephalography (EEG) motor imagery classification has been widely used in healthcare applications such as mobile assistive robots and post-stroke rehabilitation. Recently, EEG motor imagery classification methods based on convolutional
Guanghai Dai, Jun Zhou, Jiahui Huang, Ni Wang   +3 more
semanticscholar   +1 more source

Motor Imagery in Huntington's Disease

Journal of Clinical and Experimental Neuropsychology, 2000
We investigated the role of the basal ganglia (BG) in motor imagery in patients with Huntington's disease (HD). A visually guided pointing task assessed whether patients could predict actual movement time (MT) through motor imagery. Executed and imagined movements were performed when vision was constrained centrally, or was free to move.
McLennan, N, Georgiou, N, Mattingley, J, Bradshaw, JL, Chiu, E   +4 more
openaire   +3 more sources

Deep Learning for EEG motor imagery classification based on multi-layer CNNs feature fusion

Future generations computer systems, 2019
Electroencephalography (EEG) motor imagery (MI) signals have recently gained a lot of attention as these signals encode a person’s intent of performing an action.
S. Amin, M. Alsulaiman, Muhammad Ghulam, M. Mekhtiche, M. S. Hossain   +4 more
semanticscholar   +1 more source