AIMC Topic: Electroencephalography
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Ultrafast review of ambulatory EEGs with deep learning.
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Jul 27, 2023
OBJECTIVE: Interictal epileptiform discharges (IED) are hallmark biomarkers of epilepsy which are typically detected through visual analysis. Deep learning has shown potential in automating IED detection, which could reduce the burden of visual analy...
Dissociable default-mode subnetworks subserve childhood attention and cognitive flexibility: Evidence from deep learning and stereotactic electroencephalography.
Neural networks : the official journal of the International Neural Network Society
Jul 23, 2023
Cognitive flexibility encompasses the ability to efficiently shift focus and forms a critical component of goal-directed attention. The neural substrates of this process are incompletely understood in part due to difficulties in sampling the involved...
Sex-related patterns in the electroencephalogram and their relevance in machine learning classifiers.
Human brain mapping
Jul 17, 2023
Deep learning is increasingly being proposed for detecting neurological and psychiatric diseases from electroencephalogram (EEG) data but the method is prone to inadvertently incorporate biases from training data and exploit illegitimate patterns. Th...
Analyzing of optimal classifier selection for EEG signals of depression patients based on intelligent fuzzy decision support systems.
Scientific reports
Jul 14, 2023
Electroencephalograms (EEG) is used to assess patients' clinical records of depression (EEG). The disorder of human thinking is a very complex problem caused by heavy-duty in daily life. We need some future and optimal classifier selection by using d...
Effect of sugammadex on processed EEG parameters in patients undergoing robot-assisted radical prostatectomy.
British journal of anaesthesia
Jul 6, 2023
BACKGROUND: Sugammadex has been associated with increases in the bispectral index (BIS). We evaluated the effects of sugammadex administration on quantitative electroencephalographic (EEG) and electromyographic (EMG) measures.
Perturbing BEAMs: EEG adversarial attack to deep learning models for epilepsy diagnosing.
BMC medical informatics and decision making
Jul 6, 2023
Deep learning models have been widely used in electroencephalogram (EEG) analysis and obtained excellent performance. But the adversarial attack and defense for them should be thoroughly studied before putting them into safety-sensitive use. This wor...
DeepSeg: Deep Segmental Denoising Neural Network for Seismic Data.
IEEE transactions on neural networks and learning systems
Jul 6, 2023
Noise attenuation is a crucial phase in seismic signal processing. Enhancing the signal-to-noise ratio (SNR) of registered seismic signals improves subsequent processing and, eventually, data analysis and interpretation. In this work, a novel noise r...
Characteristic analysis of epileptic brain network based on attention mechanism.
Scientific reports
Jul 3, 2023
Constructing an efficient and accurate epilepsy detection system is an urgent research task. In this paper, we developed an EEG-based multi-frequency multilayer brain network (MMBN) and an attentional mechanism based convolutional neural network (AM-...
A video processing and machine learning based method for evaluating safety-critical operator engagement in a motorway control room.
Ergonomics
Jun 27, 2023
In safety-critical automatic systems, safety can be compromised if operators lack engagement. Effective detection of undesirable engagement states can inform the design of interventions for enhancing engagement. However, the existing engagement measu...
Deep Learning in the Identification of Electroencephalogram Sources Associated with Sexual Orientation.
Neuropsychobiology
Jun 27, 2023
INTRODUCTION: It is unclear if sexual orientation is a biological trait that has neurofunctional footprints. With deep learning, the power to classify biological datasets without an a priori selection of features has increased by magnitudes. The aim ...
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