AIMC Topic: Electroencephalography

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Automatic Sleep Stages Classification Combining Semantic Representation and Dynamic Expert System.

Studies in health technology and informatics Aug 21, 2019
Interest in sleep has been growing in the last decades, considering its benefits for well-being, but also to diagnose sleep troubles. The gold standard to monitor sleep consists of recording the course of many physiological parameters during a whole ...
Semantics Polysomnography Sleep Stages Electroencephalography Expert Systems Humans
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Predicting task-general mind-wandering with EEG.

Cognitive, affective & behavioral neuroscience Aug 1, 2019
Mind-wandering refers to the process of thinking task-unrelated thoughts while performing a task. The dynamics of mind-wandering remain elusive because it is difficult to track when someone's mind is wandering based only on behavior. The goal of this...
Male Adolescent Support Vector Machine Young Adult Adult Psychomotor Performance Thinking Alpha Rhythm Electroencephalography Attention Humans Female
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A Hybrid Physiological Approach of Emotional Reaction Detection Using Combined FCM and SVM Classifier.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Users' emotional reaction capturing is one of the primary issues for brain computer interface applications. Despite the intuitive feedback provided by the qualitative methods, emotional reactions are expected to be detected and classified quantitativ...
Signal Processing, Computer-Assisted Brain-Computer Interfaces Wavelet Analysis Support Vector Machine Electroencephalography Humans Algorithms
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Comparison of Classifiers for the Transfer Learning of Affective Auditory P300-Based BCIs.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
The auditory P300-based BCI was improved by changing stimuli. However, the current method needed time for recording training data. The time can be saved by the subject-to-subject transfer learning. However, the suitable classifier for the learning re...
Support Vector Machine Discriminant Analysis Electroencephalography Female Male Humans Learning
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A Convolutional Neural Network for Enhancing the Detection of SSVEP in the Presence of Competing Stimuli.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Stimulus proximity has been shown to have an influence on the classification performance of a steady-state visual evoked potential based brain-computer interface (SSVEP-BCI). Multiple visual stimuli placed close to each other compete for neural repre...
Evoked Potentials, Visual Photic Stimulation Algorithms Electroencephalography Brain-Computer Interfaces Humans Neural Networks, Computer
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Tensor Discriminant Analysis for MI-EEG Signal Classification Using Convolutional Neural Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Motor Imagery (MI) is a typical paradigm for Brain-Computer Interface (BCI) system. In this paper, we propose a new framework by introducing a tensor-based feature representation of the data and also utilizing a convolutional neural network (CNN) arc...
Algorithms Discriminant Analysis Signal Processing, Computer-Assisted Brain-Computer Interfaces Electroencephalography Humans Neural Networks, Computer Imagination
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EEG-Based Mental Workload Estimation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Knowledge of the level of mental workload induced by any task is essential for optimizing load share among the operators. This helps in assessing their capability; besides, helping in task allocation. Since a persistently high workload experienced by...
Workload Heart Rate Task Performance and Analysis Neural Networks, Computer Brain Electroencephalography Humans
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Trajectory Decoding of Arm Reaching Movement Imageries for Brain-Controlled Robot Arm System.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Development of noninvasive brain-machine interface (BMI) systems based on electroencephalography (EEG), driven by spontaneous movement intentions, is a useful tool for controlling external devices or supporting a neuro- rehabilitation. In this study,...
Brain-Computer Interfaces Movement Robotics Electroencephalography Humans Brain
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EEG-Based Classification of Olfactory Response to Pleasant Stimuli.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Olfactory perception involves complex processing distributed along several cortical and sub-cortical regions in the brain. Although several studies have shown that the power spectra of the electroencephalography (EEG) contain information that can be ...
Smell Humans Brain Emotions Electroencephalography Support Vector Machine
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Automatic detection of High Frequency Oscillations (80-500Hz) based on Convolutional Neural Network in Human Intracerebral Electroencephalogram.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Recently, high-frequency oscillations (HFOs) of range 80-500 Hz in electroencephalogram (EEG) recordings of epilepsy patients are considered as a reliable marker of epileptic seizure. In the present work, an automatic detection of HFOs represents an ...
Neural Networks, Computer Female Young Adult Humans Electroencephalography Epilepsy Seizures Adult Male Electrocorticography
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