AIMC Topic: Electroencephalography

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Use of the Globus ExcelsiusGPS System for Robotic Stereoelectroencephalography: An Initial Experience.

World neurosurgery Apr 11, 2023
BACKGROUND: Stereoelectroencephalography (SEEG) is a critical tool used in the identification of epileptogenic zones. Although stereotactic frame-based SEEG procedures have been performed traditionally, newer robotic-assisted SEEG procedures have bec...
Middle Aged Robotics Retrospective Studies Adult Stereotaxic Techniques Drug Resistant Epilepsy Electrodes, Implanted Electroencephalography Robotic Surgical Procedures Humans
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Self-Supervised EEG Emotion Recognition Models Based on CNN.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 11, 2023
Emotion plays crucial roles in human life. Recently, emotion classification from electroencephalogram (EEG) signal has attracted attention by researchers due to the rapid development of brain computer interface (BCI) techniques and machine learning a...
Neural Networks, Computer Electroencephalography Humans Machine Learning Algorithms Emotions
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Coupling analysis of heart rate variability and cortical arousal using a deep learning algorithm.

PloS one Apr 6, 2023
Frequent cortical arousal is associated with cardiovascular dysfunction among people with sleep-disordered breathing. Changes in heart rate variability (HRV) can represent pathological conditions associated with autonomic nervous system dysfunction. ...
Electroencephalography Heart Rate Female Sleep Deep Learning Arousal Humans Autonomic Nervous System Algorithms
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Decoding study-independent mind-wandering from EEG using convolutional neural networks.

Journal of neural engineering Mar 31, 2023
. Mind-wandering is a mental phenomenon where the internal thought process disengages from the external environment periodically. In the current study, we trained EEG classifiers using convolutional neural networks (CNNs) to track mind-wandering acro...
Mental Processes Machine Learning Electroencephalography Humans Neural Networks, Computer
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Deep learning-based EEG analysis to classify normal, mild cognitive impairment, and dementia: Algorithms and dataset.

NeuroImage Mar 29, 2023
For automatic EEG diagnosis, this paper presents a new EEG data set with well-organized clinical annotations called Chung-Ang University Hospital EEG (CAUEEG), which has event history, patient's age, and corresponding diagnosis labels. We also design...
Deep Learning Cognitive Dysfunction Dementia Electroencephalography Humans Algorithms
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EEG-Based Emotion Classification in Financial Trading Using Deep Learning: Effects of Risk Control Measures.

Sensors (Basel, Switzerland) Mar 26, 2023
Day traders in the financial markets are under constant pressure to make rapid decisions and limit capital losses in response to fluctuating market prices. As such, their emotional state can greatly influence their decision-making, leading to subopti...
Electroencephalography Fear Emotions Bayes Theorem Deep Learning
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Simultaneous Sleep Stage and Sleep Disorder Detection from Multimodal Sensors Using Deep Learning.

Sensors (Basel, Switzerland) Mar 26, 2023
Sleep scoring involves the inspection of multimodal recordings of sleep data to detect potential sleep disorders. Given that symptoms of sleep disorders may be correlated with specific sleep stages, the diagnosis is typically supported by the simulta...
Humans Deep Learning Electroencephalography Sleep Sleep Wake Disorders Sleep Stages
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EBi-LSTM: an enhanced bi-directional LSTM for time-series data classification by heuristic development of optimal feature integration in brain computer interface.

Computer methods in biomechanics and biomedical engineering Mar 23, 2023
Generally, time series data is referred to as the sequential representation of data that observes from different applications. Therefore, such expertise can use Electroencephalography (EEG) signals to fetch data regarding brain neural activities in b...
Heuristics Brain-Computer Interfaces Time Factors Electroencephalography Neural Networks, Computer Algorithms
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From basic sciences and engineering to epileptology: A translational approach.

Epilepsia Mar 20, 2023
Collaborative efforts between basic scientists, engineers, and clinicians are enabling translational epileptology. In this article, we summarize the recent advances presented at the International Conference for Technology and Analysis of Seizures (IC...
Humans Electroencephalography Epilepsy Artificial Intelligence Research Seizures
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Confused or not: decoding brain activity and recognizing confusion in reasoning learning using EEG.

Journal of neural engineering Mar 17, 2023
Confusion is the primary epistemic emotion in the learning process, influencing students' engagement and whether they become frustrated or bored. However, research on confusion in learning is still in its early stages, and there is a need to better u...
Emotions Neural Networks, Computer Humans Brain Electroencephalography Bayes Theorem
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