AIMC Topic: Electroencephalography

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Detecting Post-Stroke Aphasia Via Brain Responses to Speech in a Deep Learning Framework.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Aphasia, a language disorder primarily caused by a stroke, is traditionally diagnosed using behavioral language tests. However, these tests are time-consuming, require manual interpretation by trained clinicians, suffer from low ecological validity, ...
Stroke Male Aphasia Middle Aged Female Humans Deep Learning Aged Speech Brain Adult Support Vector Machine Electroencephalography
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Machine Learning Approach for Music Familiarity Classification with Single-Channel EEG.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Recognition of familiar music on brainwaves through machine learning (ML) can be instrumental in innovative therapeutic devices that improve memory and communication in dementia patients. In this study, a variety of machine learning algorithms were a...
Machine Learning Algorithms Electroencephalography Female Signal Processing, Computer-Assisted Male Humans Music Support Vector Machine Discriminant Analysis
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Reconstruction of Continuous Hand Grasp Movement from EEG Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Brain-Computer Interface (BCI) is a promising neu-rotechnology offering non-muscular control of external devices, such as neuroprostheses and robotic exoskeletons. A new yet under-explored BCI control paradigm is Motion Trajectory Prediction (MTP). W...
Deep Learning Female Movement Adult Male Signal Processing, Computer-Assisted Humans Hand Algorithms Brain-Computer Interfaces Hand Strength Electroencephalography
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LightIED: Explainable AI with Light CNN for Interictal Epileptiform Discharge Detection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Interictal epileptic discharge (IED) detection from electroencephalography (EEG) is an important but difficult step in the epilepsy diagnosis. To reduce the workload of doctors, some diagnostic auxiliary methods based on deep learning have been propo...
Electroencephalography Epilepsy Signal Processing, Computer-Assisted Machine Learning Humans Algorithms Neural Networks, Computer Diagnosis, Computer-Assisted
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Enhancing Epileptic Seizure Detection with Random Input Selection in Graph-Wave Networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Graph neural networks show strong capability of learning spatial relationships between channels. In recent studies, they greatly advanced automatic epileptic seizures detection via multi-channels scalp electroencephalography (EEG). In this work, we u...
Seizures Signal Processing, Computer-Assisted Fourier Analysis Electroencephalography Epilepsy Humans Neural Networks, Computer Algorithms
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Transformer-Based Wavelet-Scalogram Deep Learning for Improved Seizure Pattern Recognition in Post-Hypoxic-Ischemic Fetal Sheep EEG.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Hypoxic-ischemic (HI) events in newborns can trigger seizures, which are highly associated with later neurodevelopmental impairment. The precise detection of these seizures is a complex task requiring considerable very specialized expertise, undersco...
Sheep Pattern Recognition, Automated Fetus Electroencephalography Seizures Signal Processing, Computer-Assisted Wavelet Analysis Hypoxia-Ischemia, Brain Neural Networks, Computer Algorithms Pregnancy Female Animals Deep Learning
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Bi-hemisphere Interaction Convolutional Neural Network for Motor Imagery Classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Decoding EEG-based, Motor Imagery Brain-Computer Interfaces (MI-BCI) in a subject-independent manner is very challenging due to high dimensionality of the EEG signal, and high inter-subject variability. In recent years, Convolutional neural networks ...
Neural Networks, Computer Algorithms Brain Humans Brain-Computer Interfaces Convolutional Neural Networks Imagination Electroencephalography Signal Processing, Computer-Assisted
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An Explainable Transfer Learning Method for EEG-based Seizure Type Classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Epilepsy, traditionally conceptualized as a neurological disorder characterized by a persistent inclination toward epileptic seizures, is commonly diagnosed and monitored through EEGs. However, manual analysis of EEG data can be exceedingly time-cons...
Machine Learning Humans Epilepsy Algorithms Seizures Electroencephalography Signal Processing, Computer-Assisted
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Knowledge-guided EEG Representation Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Self-supervised learning has produced impressive results in multimedia domains of audio, vision and speech. This paradigm is equally, if not more, relevant for the domain of biosignals, owing to the scarcity of labelled data in such scenarios. The ab...
Deep Learning Electroencephalography Signal Processing, Computer-Assisted Humans Machine Learning Algorithms
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Epileptic State Prediction using Phase Space Domain and Machine Learning Algorithms.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Epilepsy is a disease of the brain that causes unprovoked or reflex seizures that affects millions of individuals worldwide. Traditionally, identifying epileptic states involves assessing neuroimaging scans or brain electrical signals recorded by EEG...
Electroencephalography Epilepsy Signal Processing, Computer-Assisted Humans Machine Learning Algorithms
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