Results 61 to 70 of about 67,554 (364)

Prediction of the Sleep Apnea Severity Using 2D-Convolutional Neural Networks and Respiratory Effort Signals

open access: yesDiagnostics, 2023
The high prevalence of sleep apnea and the limitations of polysomnography have prompted the investigation of strategies aimed at automated diagnosis using a restricted number of physiological measures.
Verónica Barroso-García   +6 more
doaj   +1 more source

Phenotype-based and Self-learning Inter-individual Sleep Apnea Screening with a Level IV Monitoring System [PDF]

open access: yes, 2018
Purpose: We propose a phenotype-based artificial intelligence system that can self-learn and is accurate for screening purposes, and test it on a Level IV monitoring system. Methods: Based on the physiological knowledge, we hypothesize that the phenotype
Hau-Tieng Wu   +8 more
core   +2 more sources

Mortality‐risk‐based apnea–hypopnea index thresholds for diagnostics of obstructive sleep apnea

open access: yesJournal of Sleep Research, 2019
The severity of obstructive sleep apnea is clinically assessed mainly using the apnea–hypopnea index. Based on the apnea–hypopnea index, patients are classified into four severity groups: non‐obstructive sleep apnea (apnea–hypopnea index
H. Korkalainen   +3 more
semanticscholar   +1 more source

Evaluation of severe obstructive sleep apnea/hypopnea syndrome after maxillomandibular advancement surgery [PDF]

open access: yesEinstein (São Paulo), 2007
Objective: To evaluate the effectiveness of the maxilomandibularadvancement surgery in patients suffering from obstructive sleepapnea/hypopnea syndrome by analysing it objectively and subjectively.Methods: Ten patients suffering from apnea/hypopnea ...
Fernanda Louise Martinho   +3 more
doaj  

The association of obstructive sleep apnea with insulin resistance in obese Egyptians

open access: yesEgyptian Journal of Chest Disease and Tuberculosis, 2019
Context Obstructive sleep apnea (OSA) is not a rare disease affecting obese people. It leads to cardiovascular diseases (CVDs). One of the proposed mechanisms leading to CVD is insulin resistance (IR). Aim To study the association of OSA with IR in obese
Walid A Shehab-Eldin   +1 more
doaj   +1 more source

Idiopathic bilateral abductor cord palsy-can it be the cause of obstructive sleep apnea?

open access: yesSleep Medicine: X, 2023
We describe a case of 27 year old male who presented with history of breathing difficulty with episodes of apnea for 8 years. He was suspected to have obstructive sleep apnea and a nocturnal polysomnography showed Apnea-Hypopnea index of 34/hour and the ...
Roshan Verma, Reshma Raj
doaj   +1 more source

How are normal sleeping controls selected? A systematic review of cross-sectional insomnia studies, and a standardised method to select healthy controls for sleep research [PDF]

open access: yes, 2008
There appears to be some inconsistency in how normal sleepers (controls) are selected and screened for participation in research studies for comparison with insomnia patients.
Louise Beattie   +59 more
core   +5 more sources

Blood Pressure Non-Dipping and Obstructive Sleep Apnea Syndrome: A Meta-Analysis [PDF]

open access: yes, 2019
AIM: We examined the reduced blood pressure (BP) nocturnal fall in patients with obstructive sleep apnea (OSA) by a meta-analysis including studies that provided data on prevalence rates of non-dipping (ND) pattern during 24-h ambulatory blood ...
Cuspidi, Cesare   +5 more
core   +1 more source

Apnea–hypopnea index decreased significantly after nasal surgery for obstructive sleep apnea

open access: yesMedicine, 2017
Background: Nasal surgeries have been applied to obstructive sleep apnea (OSA) patients with nasal obstruction for decades. However, the efficiency of nasal surgery in improving OSA remains controversial.
Jun Wu   +6 more
semanticscholar   +1 more source

Estimation of Apnea-Hypopnea Index Using Deep Learning On 3-D Craniofacial Scans [PDF]

open access: yesIEEE Journal of Biomedical and Health Informatics, 2021
Obstructive sleep apnea (OSA) is characterized by decreased breathing events that occur through the night, with severity reported as the apnea-hypopnea index (AHI), which is associated with certain craniofacial features. In this study, we used data from 1366 patients collected as part of Stanford Technology Analytics and Genomics in Sleep (STAGES ...
Umaer Hanif   +11 more
openaire   +5 more sources

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