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[A preliminary study on a new method for evaluating brain maturation in preterm infants].
Publication Type: Academic Journal
Source(s): Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics [Zhongguo Dang Dai Er Ke Za Zhi] 2023 Aug 15; Vol. 25 (8), pp. 805-811.
Abstract: Objectives: To establish a new method for evaluating the brain maturation of preterm infants based on the features of electroencephalographic activity.Methods: A prospective study was conducted on the video electroencephalography (vEEG) and amplitude-i...
A self-attention model for cross-subject seizure detection.
Publication Type: Academic Journal
Source(s): Computers in biology and medicine [Comput Biol Med] 2023 Oct; Vol. 165, pp. 107427. Date of Electronic Publication: 2023 Sep 01.
Abstract: Epilepsy is a neurological disorder characterized by recurring seizures, detected by electroencephalography (EEG). EEG signals can be detected by manual time-consuming analysis and recently by automatic detection. The latter poses a significant challen...
Neural signals-based respiratory motion tracking: a proof-of-concept study.
Publication Type: Academic Journal
Source(s): Physics in medicine and biology [Phys Med Biol] 2023 Sep 25; Vol. 68 (19). Date of Electronic Publication: 2023 Sep 25.
Abstract: Objective. Respiratory motion tracking techniques can provide optimal treatment accuracy for thoracoabdominal radiotherapy and robotic surgery. However, conventional imaging-based respiratory motion tracking techniques are time-lagged owing to the syst...
Machine learning and EEG can classify passive viewing of discrete categories of visual stimuli but not the observation of pain.
Publication Type: Academic Journal
Source(s): BMC neuroscience [BMC Neurosci] 2023 Sep 15; Vol. 24 (1), pp. 50. Date of Electronic Publication: 2023 Sep 15.
Abstract: Previous studies have demonstrated the potential of machine learning (ML) in classifying physical pain from non-pain states using electroencephalographic (EEG) data. However, the application of ML to EEG data to categorise the observation of pain versu...
Cognitive processing stages in mental rotation - How can cognitive modelling inform HsMM-EEG models?
Publication Type: Academic Journal
Source(s): Neuropsychologia [Neuropsychologia] 2023 Sep 09; Vol. 188, pp. 108615. Date of Electronic Publication: 2023 Jul 07.
Abstract: The aspiration for insight into human cognitive processing has traditionally driven research in cognitive science. With methods such as the Hidden semi-Markov Model-Electroencephalography (HsMM-EEG) method, new approaches have been developed that help ...
Ictal Blinking: Reappraisal of the Lateralization and Localization Value in Focal Seizures.
Publication Type: Academic Journal
Source(s): Clinical EEG and neuroscience [Clin EEG Neurosci] 2023 Sep; Vol. 54 (5), pp. 497-504. Date of Electronic Publication: 2022 Jan 05.
Abstract: Introduction. Although ictal blinking is significantly more frequent in generalized epilepsy, it has been reported as a rare but useful lateralizing sign in focal seizures when it is not associated with facial clonic twitching. This study aimed to rais...
A deep domain adaptation framework with correlation alignment for EEG-based motor imagery classification.
Publication Type: Academic Journal
Source(s): Computers in biology and medicine [Comput Biol Med] 2023 Sep; Vol. 163, pp. 107235. Date of Electronic Publication: 2023 Jul 04.
Abstract: It is impractical to collect sufficient and well-labeled EEG data in Brain-computer interface because of the time-consuming data acquisition and costly annotation. Conventional classification methods reusing EEG data from different subjects and time pe...
Generative Adversarial Network (GAN) for Simulating Electroencephalography.
Publication Type: Academic Journal
Source(s): Brain topography [Brain Topogr] 2023 Sep; Vol. 36 (5), pp. 661-670. Date of Electronic Publication: 2023 Jul 06.
Abstract: Electroencephalographs record the electrical activity of your brain through the scalp. Electroencephalography is difficult to obtain due to its sensitivity and variability. Applications of electroencephalography such as for diagnosis, education, brain-...
Driver drowsiness detection methods using EEG signals: a systematic review.
Publication Type: Academic Journal
Source(s): Computer methods in biomechanics and biomedical engineering [Comput Methods Biomech Biomed Engin] 2023 Sep; Vol. 26 (11), pp. 1237-1249. Date of Electronic Publication: 2022 Aug 19.
Abstract: Electroencephalography (EEG) is a complex signal that may require several years of training, advanced signal processing, and feature extraction methodologies to interpret correctly. Recently, many methods have been used to extract and classify EEG data...
A Class-Imbalance Aware and Explainable Spatio-Temporal Graph Attention Network for Neonatal Seizure Detection.
Publication Type: Academic Journal
Source(s): International journal of neural systems [Int J Neural Syst] 2023 Sep; Vol. 33 (9), pp. 2350046. Date of Electronic Publication: 2023 Jul 28.
Abstract: Seizures are the most prevalent clinical indication of neurological disorders in neonates. In this study, a class-imbalance aware and explainable deep learning approach based on Convolutional Neural Networks (CNNs) and Graph Attention Networks (GATs) i...