AIMC Topic: Imagery, Psychotherapy

Clear Filters Showing 11 to 20 of 28 articles

Convolutional neural networks and genetic algorithm for visual imagery classification.

Physical and engineering sciences in medicine Jul 13, 2020
Brain-Computer Interface (BCI) systems establish a channel for direct communication between the brain and the outside world without having to use the peripheral nervous system. While most BCI systems use evoked potentials and motor imagery, in the pr...
Neural Networks, Computer Algorithms Female Humans Electroencephalography Signal Processing, Computer-Assisted Electrodes Imagery, Psychotherapy Reproducibility of Results Adult Male
View on PubMed DOI

Deep learning for EEG-based Motor Imagery classification: Accuracy-cost trade-off.

PloS one Jun 11, 2020
Electroencephalography (EEG) datasets are often small and high dimensional, owing to cumbersome recording processes. In these conditions, powerful machine learning techniques are essential to deal with the large amount of information and overcome the...
Imagery, Psychotherapy Middle Aged Deep Learning Electroencephalography Signal Processing, Computer-Assisted Brain-Computer Interfaces Motor Activity Young Adult Adult Male Humans Female
View on PubMed DOI

EEG classification across sessions and across subjects through transfer learning in motor imagery-based brain-machine interface system.

Medical & biological engineering & computing May 11, 2020
Transfer learning enables the adaption of models to handle mismatches of distributions across sessions or across subjects. In this paper, we proposed a new transfer learning algorithm to classify motor imagery EEG data. By analyzing the power spectru...
Brain-Computer Interfaces Male Imagery, Psychotherapy Support Vector Machine Electroencephalography Signal Processing, Computer-Assisted Hand Algorithms Healthy Volunteers Female Young Adult Humans Machine Learning
View on PubMed DOI

Challenge Accepted? Individual Performance Gains for Motor Imagery Practice with Humanoid Robotic EEG Neurofeedback.

Sensors (Basel, Switzerland) Mar 14, 2020
Optimizing neurofeedback (NF) and brain-computer interface (BCI) implementations constitutes a challenge across many fields and has so far been addressed by, among others, advancing signal processing methods or predicting the user's control ability f...
Young Adult Adult Male Humans Female Brain-Computer Interfaces Neurofeedback Imagery, Psychotherapy Robotics Electroencephalography Signal Processing, Computer-Assisted Sensorimotor Cortex
View on PubMed DOI

Multi optimized SVM classifiers for motor imagery left and right hand movement identification.

Australasian physical & engineering sciences in medicine Aug 30, 2019
EEG signal can be a good alternative for disabled persons who cannot perform actions or perform them improperly. Brain computer interface (BCI) is an attractive technology which permits control and interaction with a computer or a machine using EEG s...
Imagery, Psychotherapy Electroencephalography Signal Processing, Computer-Assisted Hand Movement Humans Motor Activity Support Vector Machine Brain-Computer Interfaces Task Performance and Analysis
View on PubMed DOI

Sparse Representation-Based Extreme Learning Machine for Motor Imagery EEG Classification.

Computational intelligence and neuroscience Oct 28, 2018
Classification of motor imagery (MI) electroencephalogram (EEG) plays a vital role in brain-computer interface (BCI) systems. Recent research has shown that nonlinear classification algorithms perform better than their linear counterparts, but most o...
Machine Learning Evoked Potentials, Motor Algorithms Electroencephalography Imagery, Psychotherapy Learning Humans Datasets as Topic Neural Networks, Computer Brain-Computer Interfaces
View on PubMed DOI

Muscleless motor synergies and actions without movements: From motor neuroscience to cognitive robotics.

Physics of life reviews Apr 27, 2018
Emerging trends in neurosciences are providing converging evidence that cortical networks in predominantly motor areas are activated in several contexts related to 'action' that do not cause any overt movement. Indeed for any complex body, human or e...
Humans Brain Mapping Robotics Psychomotor Performance Movement Neurosciences Motor Cortex Biobehavioral Sciences Imagination Imagery, Psychotherapy
View on PubMed DOI

Visual mental imagery: A view from artificial intelligence.

Cortex; a journal devoted to the study of the nervous system and behavior Feb 27, 2018
This article investigates whether, and how, an artificial intelligence (AI) system can be said to use visual, imagery-based representations in a way that is analogous to the use of visual mental imagery by people. In particular, this article aims to ...
Humans Visual Perception Imagination Imagery, Psychotherapy Artificial Intelligence Memory, Short-Term Problem Solving
View on PubMed DOI

Scale-Dependent Signal Identification in Low-Dimensional Subspace: Motor Imagery Task Classification.

Neural plasticity Nov 3, 2016
Motor imagery electroencephalography (EEG) has been successfully used in locomotor rehabilitation programs. While the noise-assisted multivariate empirical mode decomposition (NA-MEMD) algorithm has been utilized to extract task-specific frequency ba...
Imagery, Psychotherapy Humans Support Vector Machine Electroencephalography Psychomotor Performance Motor Skills
View on PubMed DOI

A neural network-based optimal spatial filter design method for motor imagery classification.

PloS one May 1, 2015
In this study, a novel spatial filter design method is introduced. Spatial filtering is an important processing step for feature extraction in motor imagery-based brain-computer interfaces. This paper introduces a new motor imagery signal classificat...
Imagery, Psychotherapy Electroencephalography Humans Brain-Computer Interfaces Neural Networks, Computer Motor Activity Algorithms
View on PubMed DOI
Popular Topics
Recent Journals