AIMC Topic: Evoked Potentials, Motor

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Motor Imagery Classification Based on Bilinear Sub-Manifold Learning of Symmetric Positive-Definite Matrices.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Jul 7, 2016
In motor imagery brain-computer interfaces (BCIs), the symmetric positive-definite (SPD) covariance matrices of electroencephalogram (EEG) signals carry important discriminative information. In this paper, we intend to classify motor imagery EEG sign...
Imagination Pattern Recognition, Automated Brain-Computer Interfaces Movement Evoked Potentials, Motor Brain Mapping Electroencephalography Linear Models Humans Reproducibility of Results Sensitivity and Specificity Machine Learning Algorithms
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Ten-dimensional anthropomorphic arm control in a human brain-machine interface: difficulties, solutions, and limitations.

Journal of neural engineering Dec 16, 2014
OBJECTIVE: In a previous study we demonstrated continuous translation, orientation and one-dimensional grasping control of a prosthetic limb (seven degrees of freedom) by a human subject with tetraplegia using a brain-machine interface (BMI). The cur...
Feedback, Physiological Evoked Potentials, Motor Imagination Quadriplegia Female Adult Artificial Limbs Arm Humans Robotics Prosthesis Design Brain-Computer Interfaces Joints Computer Simulation Equipment Failure Analysis Models, Biological Electroencephalography
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Enhanced neuroplasticity and gait recovery in stroke patients: a comparative analysis of active and passive robotic training modes.

BMC neurology May 31, 2025
BACKGROUND: Stroke is a leading cause of long-term disability, with lower limb dysfunction being a common sequela that significantly impacts patients' mobility and quality of life. Robotic-assisted training has emerged as a promising intervention for...
Spectroscopy, Near-Infrared Treatment Outcome Neuronal Plasticity Recovery of Function Adult Male Middle Aged Exercise Therapy Stroke Rehabilitation Evoked Potentials, Motor Gait Disorders, Neurologic Robotics Stroke Gait Humans Female Aged
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Effects of virtual reality-based robot therapy combined with task-oriented therapy on upper limb function and cerebral cortex activation in patients with stroke.

Medicine Jul 5, 2024
BACKGROUND: This study aimed to investigate the effects of virtual reality (VR)-based robot therapy combined with task-oriented therapy on cerebral cortex activation and upper limb function in patients with stroke.
Female Aged Adult Male Humans Hemiplegia Upper Extremity Stroke Rehabilitation Recovery of Function Evoked Potentials, Motor Robotics Stroke Cerebral Cortex Middle Aged Virtual Reality Treatment Outcome
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A wearable resistive robot facilitates locomotor adaptations during gait.

Restorative neurology and neuroscience Jan 1, 2018
BACKGROUND: Robotic-resisted treadmill walking is a form of task-specific training that has been used to improve gait function in individuals with neurological injury, such as stroke, spinal cord injury, or cerebral palsy. Traditionally, these device...
Exercise Test Electromyography Stroke Stroke Rehabilitation Muscle, Skeletal Recovery of Function Robotics Evoked Potentials, Motor Gait Disorders, Neurologic Humans Female Middle Aged Wearable Electronic Devices Aged Male
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Random forests in non-invasive sensorimotor rhythm brain-computer interfaces: a practical and convenient non-linear classifier.

Biomedizinische Technik. Biomedical engineering Feb 1, 2016
There is general agreement in the brain-computer interface (BCI) community that although non-linear classifiers can provide better results in some cases, linear classifiers are preferable. Particularly, as non-linear classifiers often involve a numbe...
Computer Simulation Female Reproducibility of Results Sensitivity and Specificity Evoked Potentials, Somatosensory Male Humans Brain-Computer Interfaces Sensorimotor Cortex Young Adult Machine Learning Discriminant Analysis Oscillometry Adult Nonlinear Dynamics Algorithms Evoked Potentials, Motor Pattern Recognition, Automated Imagination
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Nonholonomic mobile system control by combining EEG-based BCI with ANFIS.

Bio-medical materials and engineering Jan 1, 2015
Motor imagery EEG-based BCI has advantages in the assistance of human control of peripheral devices, such as the mobile robot or wheelchair, because the subject is not exposed to any stimulation and suffers no risk of fatigue. However, the intensive ...
Imagination Robotics Male Pattern Recognition, Automated Electrocardiography Evoked Potentials, Motor Brain-Computer Interfaces Humans Motor Cortex Movement Fuzzy Logic Neural Networks, Computer Man-Machine Systems Adult
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