AIMC Topic: Electroencephalography

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Machine Learning-Based localization of the epileptogenic zone using High-Frequency oscillations from SEEG: A Real-World approach.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Mar 13, 2025
INTRODUCTION: Localizing the epileptogenic zone (EZ) using Stereo EEG (SEEG) is often challenging through manual analysis. Even methods based on signal analysis have limitations in identifying the EZ, particularly in patients with neocortical epileps...
Male Middle Aged Adolescent Epilepsy, Temporal Lobe Electroencephalography Epilepsy Female Young Adult Adult Humans Machine Learning
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Dual-pathway EEG model with channel attention for virtual reality motion sickness detection.

Journal of neuroscience methods Mar 12, 2025
BACKGROUND: Motion sickness has been a key factor affecting user experience in Virtual Reality (VR) and limiting the development of the VR industry. Accurate detection of Virtual Reality Motion Sickness (VRMS) is a prerequisite for solving the proble...
Neural Networks, Computer Motion Sickness Brain Humans Female Young Adult Signal Processing, Computer-Assisted Virtual Reality Adult Attention Male Electroencephalography
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Explainable multiscale temporal convolutional neural network model for sleep stage detection based on electroencephalogram activities.

Journal of neural engineering Mar 7, 2025
Humans spend a significant portion of their lives in sleep (an essential driver of body metabolism). Moreover, as sleep deprivation could cause various health complications, it is crucial to develop an automatic sleep stage detection model to facilit...
Humans Neural Networks, Computer Sleep Stages Female Convolutional Neural Networks Adult Electroencephalography Male Polysomnography
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The More, the Better? Evaluating the Role of EEG Preprocessing for Deep Learning Applications.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 7, 2025
The last decade has witnessed a notable surge in deep learning applications for electroencephalography (EEG) data analysis, showing promising improvements over conventional statistical techniques. However, deep learning models can underperform if tra...
Sleep Deprivation Imagination Deep Learning Parkinson Disease Female Artifacts Electroencephalography Adult Humans Blinking Signal Processing, Computer-Assisted Male Neural Networks, Computer Alzheimer Disease Algorithms
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Deep reinforcement learning for multi-targets propofol dosing.

Journal of clinical monitoring and computing Mar 6, 2025
The administration of propofol for sedation or general anesthesia presents challenges due to the complex relationship between patient factors and real-time physiological responses. This study explores the application of deep reinforcement learning (D...
Propofol Hypnotics and Sedatives Anesthesia, General Algorithms Computer Simulation Deep Learning Arterial Pressure Respiratory Rate Reinforcement Machine Learning Humans Consciousness Monitors Electroencephalography Anesthetics, Intravenous Heart Rate
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GLEAM: A multimodal deep learning framework for chronic lower back pain detection using EEG and sEMG signals.

Computers in biology and medicine Mar 6, 2025
Low Back Pain (LBP) is the most prevalent musculoskeletal condition worldwide and a leading cause of disability, significantly affecting mobility, work productivity, and overall quality of life. Due to its high prevalence and substantial economic bur...
Humans Electromyography Low Back Pain Deep Learning Female Electroencephalography Adult Signal Processing, Computer-Assisted Male
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Deep learning-based classification of dementia using image representation of subcortical signals.

BMC medical informatics and decision making Mar 6, 2025
BACKGROUND: Dementia is a neurological syndrome marked by cognitive decline. Alzheimer's disease (AD) and frontotemporal dementia (FTD) are the common forms of dementia, each with distinct progression patterns. Early and accurate diagnosis of dementi...
Hippocampus Thalamus Amygdala Electroencephalography Alzheimer Disease Frontotemporal Dementia Deep Learning Cognitive Dysfunction Dementia Humans Male Female Middle Aged Aged
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Deep learning models as learners for EEG-based functional brain networks.

Journal of neural engineering Mar 6, 2025
Functional brain network (FBN) methods are commonly integrated with deep learning (DL) models for EEG analysis. Typically, an FBN is constructed to extract features from EEG data, which are then fed into a DL model for further analysis. Beyond this t...
Electroencephalography Nerve Net Humans Brain Deep Learning
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Predicting EEG seizures using graded spiking neural networks.

Journal of neural engineering Mar 6, 2025
To develop and evaluate a novel, non-patient-specific epileptic seizure prediction system using graded spiking neural networks (GSNNs) implemented on Intel's Loihi 2 neuromorphic processor, addressing the challenges of real-time, energy-efficient pre...
Humans Neural Networks, Computer Seizures Action Potentials Electroencephalography
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On-Chip Mental Stress Detection: Integrating a Wearable Behind-The-Ear EEG Device With Embedded Tiny Neural Network.

IEEE journal of biomedical and health informatics Mar 6, 2025
The study introduces an innovative approach to efficient mental stress detection by combining electroencephalography (EEG) analysis with on-chip neural networks, taking advantage of EEG's temporal resolution and the computational capabilities of embe...
Wearable Electronic Devices Electroencephalography Signal Processing, Computer-Assisted Adult Male Stress, Psychological Female Young Adult Humans Neural Networks, Computer
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