Latest AI and machine learning research in sleep disorders for healthcare professionals.
PURPOSE: The classification of sleep stages based on Electroencephalogram (EEG) changes has signific...
Sleep staging is a crucial tool for diagnosing and monitoring sleep disorders, but the standard clin...
Developing a convenient detection method is important for diagnosing and treating obstructive sleep ...
Sleep quality is an essential parameter of a healthy human life, while sleep disorders such as sleep...
Sleep disorders can have harmful consequences in both the short and long term. They can lead to atte...
OBJECTIVE: wearable sensor technology has progressed significantly in the last decade, but its clini...
IMPORTANCE: Sleep is critical to a person's physical and mental health and there is a need to create...
OBJECTIVE: The aim of this study was to explore heterogeneity in the cost-effectiveness of high-flow...
BACKGROUND: Obstructive sleep apnea hypopnea syndrome (OSAHS) is a common disease that can cause mul...
Perinatal depression (PND) is a common complication of pregnancy associated with serious health cons...
BACKGROUND: Major depression disorder (MDD) forms a common psychiatric comorbidity among patients wi...
The goal is to enhance an automated sleep staging system's performance by leveraging the diverse sig...
BACKGROUND: The Insomnia Severity Index (ISI) is a widely used questionnaire with seven items for id...
Reliable classification of sleep stages is crucial in sleep medicine and neuroscience research for p...
The differential diagnosis of narcolepsy type 1, a rare, chronic, central disorder of hypersomnolenc...
OBJECTIVE: At-home sleep staging using wearable medical sensors poses a viable alternative to in-hos...
OBJECTIVE: This longitudinal study investigated potential positive impact of CPAP treatment on brain...
BACKGROUND: /Objective: Automatic apnea/hypopnea events classification, crucial for clinical applica...
Manual sleep staging (MSS) using polysomnography is a time-consuming task, requires significant trai...
Maternal depression (MD) was one of the most prevalent psychiatric problems worldwide. However, it e...
Deep learning methods have gained significant attention in sleep science. This study aimed to assess...