AIMC Topic: Electroencephalography

Clear Filters Showing 1301 to 1310 of 2126 articles

A Multi-Branch 3D Convolutional Neural Network for EEG-Based Motor Imagery Classification.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Aug 29, 2019
One of the challenges in motor imagery (MI) classification tasks is finding an easy-handled electroencephalogram (EEG) representation method which can preserve not only temporal features but also spatial ones. To fully utilize the features on various...
Movement Reproducibility of Results Imagination Humans Electroencephalography Brain-Computer Interfaces Neural Networks, Computer Machine Learning Algorithms
View on PubMed DOI

Active deep learning for the identification of concepts and relations in electroencephalography reports.

Journal of biomedical informatics Aug 27, 2019
The identification of medical concepts, their attributes and the relations between concepts in a large corpus of Electroencephalography (EEG) reports is a crucial step in the development of an EEG-specific patient cohort retrieval system. However, th...
Humans Cohort Studies Natural Language Processing Bayes Theorem Neural Networks, Computer Brain Deep Learning Medical Informatics Electronic Data Processing Electroencephalography Problem-Based Learning Epilepsy Information Storage and Retrieval
View on PubMed DOI

Investigation of bias in an epilepsy machine learning algorithm trained on physician notes.

Epilepsia Aug 23, 2019
Racial disparities in the utilization of epilepsy surgery are well documented, but it is unknown whether a natural language processing (NLP) algorithm trained on physician notes would produce biased recommendations for epilepsy presurgical evaluation...
Humans Machine Learning Algorithms Young Adult Adult Middle Aged Epilepsy Healthcare Disparities Patient Selection Referral and Consultation Prejudice Child Infant Adolescent Age Factors Child, Preschool Electroencephalography
View on PubMed DOI

Using scalp EEG and intracranial EEG signals for predicting epileptic seizures: Review of available methodologies.

Seizure Aug 19, 2019
Patients suffering from epileptic seizures are usually treated with medication and/or surgical procedures. However, in more than 30% of cases, medication or surgery does not effectively control seizure activity. A method that predicts the onset of a ...
Seizures Support Vector Machine Electrocorticography Humans Electroencephalography Epilepsy Neural Networks, Computer
View on PubMed DOI

Deep learning-based electroencephalography analysis: a systematic review.

Journal of neural engineering Aug 14, 2019
CONTEXT: Electroencephalography (EEG) is a complex signal and can require several years of training, as well as advanced signal processing and feature extraction methodologies to be correctly interpreted. Recently, deep learning (DL) has shown great ...
Deep Learning Electroencephalography Brain-Computer Interfaces Humans Databases, Factual Brain
View on PubMed DOI

Early prediction of epileptic seizures using a long-term recurrent convolutional network.

Journal of neuroscience methods Aug 10, 2019
BACKGROUND: A seizure prediction system can detect seizures prior to their occurrence and allow clinicians to provide timely treatment for patients with epilepsy. Research on seizure prediction has progressed from signal processing analyses to machin...
Deep Learning Adolescent Child Electroencephalography Seizures Signal Processing, Computer-Assisted Adult Male Middle Aged Neural Networks, Computer Female Young Adult Humans
View on PubMed DOI

Constructing a Personalized Cross-Day EEG-Based Emotion-Classification Model Using Transfer Learning.

IEEE journal of biomedical and health informatics Aug 9, 2019
State-of-the-art electroencephalogram (EEG)-based emotion-classification works indicate that a personalized model may not be well exploited until sufficient labeled data are available, given a substantial EEG non-stationarity over days. However, it i...
Male Emotions Principal Component Analysis Humans Machine Learning Female Electroencephalography Signal Processing, Computer-Assisted
View on PubMed DOI

A Real-Time Health 4.0 Framework with Novel Feature Extraction and Classification for Brain-Controlled IoT-Enabled Environments.

Neural computation Aug 8, 2019
In this letter, we propose two novel methods for four-class motor imagery (MI) classification using electroencephalography (EEG). Also, we developed a real-time health 4.0 (H4.0) architecture for brain-controlled internet of things (IoT) enabled envi...
Male Electroencephalography Signal Processing, Computer-Assisted Internet of Things Brain-Computer Interfaces Imagination Machine Learning Female Humans Young Adult
View on PubMed DOI

Exploiting Graphoelements and Convolutional Neural Networks with Long Short Term Memory for Classification of the Human Electroencephalogram.

Scientific reports Aug 6, 2019
The electroencephalogram (EEG) is a cornerstone of neurophysiological research and clinical neurology. Historically, the classification of EEG as showing normal physiological or abnormal pathological activity has been performed by expert visual revie...
Electroencephalography Artifacts Datasets as Topic Humans Deep Learning ROC Curve
View on PubMed DOI

Epilepsy Seizure Prediction on EEG Using Common Spatial Pattern and Convolutional Neural Network.

IEEE journal of biomedical and health informatics Aug 5, 2019
Epilepsy seizure prediction paves the way of timely warning for patients to take more active and effective intervention measures. Compared to seizure detection that only identifies the inter-ictal state and the ictal state, far fewer researches have ...
Neural Networks, Computer Machine Learning Diagnosis, Computer-Assisted Humans Electroencephalography Seizures
View on PubMed DOI
Popular Topics
Recent Journals