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Recognizing drivers' sleep onset by detecting slow eye movement using a parallel multimodal one-dimensional convolutional neural network.
Comput Methods Biomech Biomed Engin
January 2025
School of Computer Science and Artificial Intelligence, Aliyun School of Big Data, Changzhou University, Changzhou, P.R. China.
Slow eye movements (SEMs) are a reliable physiological marker of drivers' sleep onset, often accompanied by EEG alpha wave attenuation. A parallel multimodal 1D convolutional neural network (PM-1D-CNN) model is proposed to classify SEMs. The model uses two parallel 1D-CNN blocks to extract features from EOG and EEG signals, which are then fused and fed into fully connected layers for classification.
View Article and Find Full Text PDF"Multimodal Sleep Signal Tensor Decomposition and Hidden Markov Modeling for Temazepam-Induced Anomalies Across Age Groups".
J Neurosci Methods
January 2025
School of Electrical and Computer Engineering, Gallogly College of Engineering, University of Oklahoma, Norman, OK 73019, USA.
Background: Recent advances in multimodal signal analysis enable the identification of subtle drug-induced anomalies in sleep that traditional methods often miss.
New Method: We develop and introduce the Dynamic Representation of Multimodal Activity and Markov States (DREAMS) framework, which embeds explainable artificial intelligence (XAI) techniques to model hidden state transitions during sleep using tensorized EEG, EMG, and EOG signals from 22 subjects across three age groups (18-29, 30-49, and 50-66 years). By combining Tucker decomposition with probabilistic Hidden Markov Modeling, we quantified age-specific, temazepam-induced hidden states and significant differences in transition probabilities.
Resting-state microstate dynamics abnormalities in children with ADHD and co-occurring sleep problems.
Sleep Med
January 2025
Peking University Sixth Hospital, Institute of Mental Health, Beijing, China; NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China. Electronic address:
Objectives: Children with attention-deficit/hyperactivity disorder often experience sleep problems, exacerbating symptoms, and cognitive deficits. However, the neurophysiological mechanisms underlying such deficits remained unclear. This study aims to use resting-state microstate analysis to investigate the neurophysiological characteristics in children with ADHD and sleep problems and explore whether neurophysiological abnormalities are associated with sleep problems.
View Article and Find Full Text PDFPhysioEx, a new Python library for explainable sleep staging through deep learning.
Physiol Meas
January 2025
Department of Electrical Engineering, KU Leuven, Kasteelpark Arenberg 10 postbus 2440 3001 LEUVEN Belgium, Leuven, Flanders, 3000, BELGIUM.
Sleep staging is a crucial task in clinical and research contexts for diagnosing and understanding sleep disorders. This work introduces PhysioEx, a Python library designed to support the analysis of sleep stages using deep learning and Explainable AI (XAI). Approach: PhysioEx provides an extensible and modular API for standardizing and automating the sleep staging pipeline, covering data preprocessing, model training, testing, fine-tuning, and explainability.
View Article and Find Full Text PDFCharacterisation of sleep in a mouse model of CLN3 disease revealed sex-specific sleep disturbances.
J Sleep Res
January 2025
Department of Ophthalmology and Visual Sciences, University of Kentucky, Lexington, Kentucky, USA.
The neuronal ceroid lipofuscinoses (NCLs) are a group of recessively inherited neurodegenerative diseases characterizsed by lysosomal storage of fluorescent materials. CLN3 disease, or juvenile Batten disease, is the most common NCL that is caused by mutations in the Ceroid Lipofuscinosis, Neuronal 3 (CLN3) gene. Sleep disturbances are among the most common symptoms associated with CLN3 disease that deteriorate the patients' life quality, yet this is understudied and has not been delineated in animal models of the disease.
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