Results 111 to 120 of about 298,029 (336)
Multimodal Sleep Stage and Sleep Apnea Classification Using Vision Transformer: A Multitask Explainable Learning Approach [PDF]
arXivSleep is an essential component of human physiology, contributing significantly to overall health and quality of life. Accurate sleep staging and disorder detection are crucial for assessing sleep quality. Studies in the literature have proposed PSG-based approaches and machine-learning methods utilizing single-modality signals.
arxiv
SLEEPNET: Automated Sleep Staging System via Deep Learning [PDF]
arXiv, 2017 Sleep disorders, such as sleep apnea, parasomnias, and hypersomnia, affect 50-70 million adults in the United States (Hillman et al., 2006). Overnight polysomnography (PSG), including brain monitoring using electroencephalography (EEG), is a central component of the diagnostic evaluation for sleep disorders.
arxiv
Indian Journal of Endocrinology and Metabolism, 2012 Metformin is a widely used anti-diabetic drug. Deterioration of sleep is an important unwanted side effect of metformin. Here, the authors review and present the details on metformin and sleep problem.
Viroj Wiwanitkit, Somsri Wiwanitkit
openaire +3 more sources
Advanced Optical Materials, EarlyView.Photochromic compounds are versatile ingredients for the development of Chemical AI. When they are embedded in a tight microenvironment, they become Markov blankets. They are also valuable for processing Boolean and Fuzzy logic. They contribute to neuromorphic engineering in wetware based on opto‐chemical signals exchanged with oscillatory chemical ...
Pier Luigi Gentili
wiley +1 more source
MSSC-BiMamba: Multimodal Sleep Stage Classification and Early Diagnosis of Sleep Disorders with Bidirectional Mamba [PDF]
arXivMonitoring sleep states is essential for evaluating sleep quality and diagnosing sleep disorders. Traditional manual staging is time-consuming and prone to subjective bias, often resulting in inconsistent outcomes. Here, we developed an automated model for sleep staging and disorder classification to enhance diagnostic accuracy and efficiency ...
arxiv
Optical Microfiber Biomedical Sensors: Classification, Applications, and Future Perspectives
Advanced Sensor Research, EarlyView.This review delves deeply into the various types of optical microfiber biosensors, grounded firmly in their fundamental principles, and underscores their indispensable roles in pushing forward biomedical advancements. It examines the latest advancements, challenges faced by these biosensors in practical applications, future directions, breakthroughs ...
Lili Liang +5 more
wiley +1 more source
Circadian Rhythms in the CNS and Peripheral Clock Disorders: Human Sleep Disorders and Clock Genes
Journal of Pharmacological Sciences, 2007 Genetic analyses of circadian rhythm sleep disorders (CRSD), such as familial advanced sleep phase syndrome (ASPS) and delayed sleep phase syndrome (DSPS), and morningness-eveningness revealed the relationship between variations in clock genes and ...
Takashi Ebisawa
doaj
Acute Effect of Nasal CPAP on Periodic Limb Movements Associated with Breathing Disorders During Sleep [PDF]
, 1994 Yoshihiro Yamashiro, Meir H. Kryger
openalex +1 more source
Sensory Encoding Alternates With Hippocampal Ripples across Cycles of Forebrain Spiking Cascades
Advanced Science, EarlyView.This study reveals widespread, coordinated brain activity during passive visual stimulation in mice. Sensory coding, phase‐locked with the periodic dynamics, shows an inverse relationship to hippocampal ripples. The results suggest that periodic brain activity spurs alteration between two distinct operational modes of brain, facilitating exteroceptive ...
Yifan Yang +4 more
wiley +1 more source