AIMC Topic: Practice, Psychological

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Single-Trial EEG Responses Classified Using Latency Features.

International journal of neural systems Jun 2, 2020
Covert attention has been repeatedly shown to impact on EEG responses after single and repeated practice sessions. Machine learning techniques are increasingly adopted to classify single-trial EEG responses thereby primarily relying on amplitude-base...
Electroencephalography Signal Processing, Computer-Assisted Longitudinal Studies Neuronal Plasticity Cerebral Cortex Practice, Psychological Attention Psychomotor Performance Humans Machine Learning Aged
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Feasibility study into self-administered training at home using an arm and hand device with motivational gaming environment in chronic stroke.

Journal of neuroengineering and rehabilitation Oct 9, 2015
BACKGROUND: Assistive and robotic training devices are increasingly used for rehabilitation of the hemiparetic arm after stroke, although applications for the wrist and hand are trailing behind. Furthermore, applying a training device in domestic set...
Hand Feasibility Studies Robotics Wrist Orthotic Devices Paresis Arm Motivation User-Computer Interface Longitudinal Studies Follow-Up Studies Chronic Disease Male Middle Aged Self Care Female Aged Aged, 80 and over Adult Practice, Psychological Humans Home Care Services Stroke Rehabilitation Games, Experimental
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Test-retest reliability of KINARM robot sensorimotor and cognitive assessment: in pediatric ice hockey players.

Journal of neuroengineering and rehabilitation Sep 5, 2015
BACKGROUND: Better diagnostic and prognostic tools are needed to address issues related to early diagnosis and management of concussion across the continuum of aging but particularly in children and adolescents. The purpose of the current study was t...
Learning Reproducibility of Results Robotics Computer Simulation Psychomotor Performance Prognosis Humans Sensation Adolescent Prospective Studies Neuropsychological Tests Child Hockey Biomechanical Phenomena Treatment Outcome Brain Concussion Male Cognition Longitudinal Studies Practice, Psychological
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Subsampled Hessian Newton Methods for Supervised Learning.

Neural computation Jun 16, 2015
Newton methods can be applied in many supervised learning approaches. However, for large-scale data, the use of the whole Hessian matrix can be time-consuming. Recently, subsampled Newton methods have been proposed to reduce the computational time by...
Neural Networks, Computer Humans Learning Algorithms Practice, Psychological
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