Automate Obstructive Sleep Apnea Diagnosis Using Convolutional Neural Networks [PDF]
Identifying sleep problem severity from overnight polysomnography (PSG) recordings plays an important role in diagnosing and treating sleep disorders such as the Obstructive Sleep Apnea (OSA). This analysis traditionally is done by specialists manually through visual inspections, which can be tedious, time-consuming, and is prone to subjective errors ...
arxiv
Rapid eye movement sleep muscle activity in routine polysomnography as a marker for narcolepsy
Abstract Narcolepsy is a chronic neurological disorder characterized by excessive daytime sleepiness and associated symptoms, including cataplexy, sleep paralysis, hypnagogic/hypnopompic hallucinations, and disrupted nocturnal sleep. It is classified into two subtypes: narcolepsy type 1 (NT1), which involves cataplexy and/or low cerebrospinal fluid ...
Dhirendra Paudel, Yan Xu, Bin Zhang
wiley +1 more source
Quasi-conformal Geometry based Local Deformation Analysis of Lateral Cephalogram for Childhood OSA Classification [PDF]
Craniofacial profile is one of the anatomical causes of obstructive sleep apnea(OSA). By medical research, cephalometry provides information on patients' skeletal structures and soft tissues. In this work, a novel approach to cephalometric analysis using quasi-conformal geometry based local deformation information was proposed for OSA classification ...
arxiv
Phenotypic differences in airway obstruction as determined by VOTE score
Abstract Objective The objective if this study was to investigate phenotypic differences in airway obstruction, as determined by VOTE score, in a cohort of patients with obstructive sleep apnea (OSA) undergoing drug‐induced sleep endoscopy (DISE). Methods Patients older than 18 years of age scheduled for DISE by one surgeon at a tertiary care center ...
Andrew S. Franklin+4 more
wiley +1 more source
Deep Learning for Endoscopic Classification of Adenoid Hypertrophy
ABSTRACT Objective Endoscopy is a convenient and widely used method to evaluate adenoid size, but the subjectivity of its image diagnosis can result in over‐ or underestimation. To create a new assessment strategy for adenoid hypertrophy, we developed a reliable method for automated classification using a deep learning algorithm with nasal endoscopic ...
Xuan‐Sheng Wang+9 more
wiley +1 more source
Relationship between sleep bruxism and obstructive sleep apnoea: A population‐based survey
Abstract Objective Sleep bruxism (SB) and obstructive sleep apnoea (OSA) seem to be mutually associated. This study investigates the relationship between current SB and OSA‐related symptoms and the difference in OSA‐related symptoms between groups based on a history of SB.
M Pollis+3 more
wiley +1 more source
Pediatric Polysomnography [PDF]
Suzanne E, Beck, Carole L, Marcus
openaire +2 more sources
SLEEPNET: Automated Sleep Staging System via Deep Learning [PDF]
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
Long-Term Compliance to Continuous Positive Airway Pressure Therapy (nCPAP) Set Up During a Split-Night Polysomnography [PDF]
Bernard Fleury+4 more
openalex +1 more source
ABSTRACT Obstructive Sleep Apnoea (OSA) is a common heterogenous sleep disorder that is associated with a wide range of comorbidities and consequences, including the development of neurocognitive and cardiometabolic disorders. The heterogeneity of OSA necessitates a precision medicine approach to accurately diagnose this condition and to effectively ...
GM Stewart, BK Tong, PA Cistulli
wiley +1 more source