AIMC Topic: Electroencephalography

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Wearable EEG Neurofeedback Based-on Machine Learning Algorithms for Children with Autism: A Randomized, Placebo-controlled Study.

Current medical science Nov 20, 2024
OBJECTIVE: Behavioral interventions have been shown to ameliorate the electroencephalogram (EEG) dynamics underlying the behavioral symptoms of autism spectrum disorder (ASD), while studies have also demonstrated that mirror neuron mu rhythm-based EE...
Female Male Wearable Electronic Devices Electroencephalography Autistic Disorder Child, Preschool Child Machine Learning Algorithms Autism Spectrum Disorder Humans Neurofeedback
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A continuous pursuit dataset for online deep learning-based EEG brain-computer interface.

Scientific data Nov 20, 2024
This dataset is from an EEG brain-computer interface (BCI) study investigating the use of deep learning (DL) for online continuous pursuit (CP) BCI. In this task, subjects use Motor Imagery (MI) to control a cursor to follow a randomly moving target,...
Humans Electroencephalography Algorithms Brain-Computer Interfaces Deep Learning
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Classification of hand movements from EEG using a FusionNet based LSTM network.

Journal of neural engineering Nov 20, 2024
. Accurate classification of electroencephalogram (EEG) signals is crucial for advancing brain-computer interface (BCI) technology. However, current methods face significant challenges in classifying hand movement EEG signals, including effective spa...
Electroencephalography Hand Brain-Computer Interfaces Movement Humans Neural Networks, Computer
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Enhancing Motor Imagery Classification with Residual Graph Convolutional Networks and Multi-Feature Fusion.

International journal of neural systems Nov 19, 2024
Stroke, an abrupt cerebrovascular ailment resulting in brain tissue damage, has prompted the adoption of motor imagery (MI)-based brain-computer interface (BCI) systems in stroke rehabilitation. However, analyzing electroencephalogram (EEG) signals f...
Male Imagination Middle Aged Electroencephalography Brain-Computer Interfaces Stroke Rehabilitation Signal Processing, Computer-Assisted Stroke Brain Humans Aged Female Neural Networks, Computer Adult
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Deep Learning Recognition of Paroxysmal Kinesigenic Dyskinesia Based on EEG Functional Connectivity.

International journal of neural systems Nov 19, 2024
Paroxysmal kinesigenic dyskinesia (PKD) is a rare neurological disorder marked by transient involuntary movements triggered by sudden actions. Current diagnostic approaches, including genetic screening, face challenges in identifying secondary cases ...
Male Deep Learning Adolescent Theta Rhythm Dystonia Electroencephalography Nerve Net Humans Female Brain Young Adult Adult
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A Novel and Powerful Dual-Stream Multi-Level Graph Convolution Network for Emotion Recognition.

Sensors (Basel, Switzerland) Nov 19, 2024
Emotion recognition enables machines to more acutely perceive and understand users' emotional states, thereby offering more personalized and natural interactive experiences. Given the regularity of the responses of brain activity to human cognitive p...
Humans Neural Networks, Computer Electroencephalography Algorithms Brain Emotions
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An adaptive multi-graph neural network with multimodal feature fusion learning for MDD detection.

Scientific reports Nov 18, 2024
Major Depressive Disorder (MDD) is an affective disorder that can lead to persistent sadness and a decline in the quality of life, increasing the risk of suicide. Utilizing multimodal data such as electroencephalograms and patient interview audios ca...
Female Adult Male Depressive Disorder, Major Humans Neural Networks, Computer Algorithms Electroencephalography
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Assessing operator stress in collaborative robotics: A multimodal approach.

Applied ergonomics Nov 16, 2024
In the era of Industry 4.0, the study of Human-Robot Collaboration (HRC) in advancing modern manufacturing and automation is paramount. An operator approaching a collaborative robot (cobot) may have feelings of distrust, and experience discomfort and...
Young Adult Adult Male Surveys and Questionnaires Humans Female Cooperative Behavior Galvanic Skin Response Occupational Stress Heart Rate Task Performance and Analysis Man-Machine Systems Electrocardiography Robotics Electroencephalography
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Partial prior transfer learning based on self-attention CNN for EEG decoding in stroke patients.

Scientific reports Nov 15, 2024
The utilization of motor imagery-based brain-computer interfaces (MI-BCI) has been shown to assist stroke patients activate motor regions in the brain. In particular, the brain regions activated by unilateral upper limb multi-task are more extensive,...
Middle Aged Electroencephalography Stroke Brain-Computer Interfaces Female Adult Male Machine Learning Stroke Rehabilitation Algorithms Humans Neural Networks, Computer
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AFSleepNet: Attention-Based Multi-View Feature Fusion Framework for Pediatric Sleep Staging.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Nov 15, 2024
The widespread prevalence of sleep problems in children highlights the importance of timely and accurate sleep staging in the diagnosis and treatment of pediatric sleep disorders. However, most existing sleep staging methods rely on one-dimensional r...
Sleep Stages Child, Preschool Child Fourier Analysis Electroencephalography Sleep Wake Disorders Attention Electrooculography Polysomnography Signal Processing, Computer-Assisted Female Humans Electromyography Male Neural Networks, Computer Adolescent Algorithms
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