Results 81 to 90 of about 812,331 (396)

Screening of Obstructive Sleep Apnea with Empirical Mode Decomposition of Pulse Oximetry

open access: yes, 2014
Detection of desaturations on the pulse oximetry signal is of great importance for the diagnosis of sleep apneas. Using the counting of desaturations, an index can be built to help in the diagnosis of severe cases of obstructive sleep apnea-hypopnea ...
Di Persia, Leandro E.   +3 more
core   +1 more source

Crouzon’s syndrome with adenotonsillitis: conventional surgery in altered anatomy. [PDF]

open access: yes, 2013
Background/Objectives: Crouzon’s syndrome is characterized by premature closure of the cranial sutures, midface hypoplasia, orbital deformities & other associated abnormalities.Children with Crouzon syndrome frequently have obstructive sleep apnea ...
Appaji, Mohan   +6 more
core   +2 more sources

Association of Unrecognized Obstructive Sleep Apnea With Postoperative Cardiovascular Events in Patients Undergoing Major Noncardiac Surgery

open access: yesJournal of the American Medical Association (JAMA), 2019
Importance Unrecognized obstructive sleep apnea increases cardiovascular risks in the general population, but whether obstructive sleep apnea poses a similar risk in the perioperative period remains uncertain.
M. Chan   +11 more
semanticscholar   +1 more source

Neuromorphic Computing with Memcapacitors: Advancements, Challenges, and Future Directions

open access: yesAdvanced Electronic Materials, EarlyView.
Neuromorphic computing reduces energy costs by integrating memory and processing in event‐driven architectures, achieving energy usage as low as 10–30 pJ per operation for memcapacitor‐based synapses. Memcapacitors are reviewed as strong contenders for neuromorphic computing, enhancing AI acceleration through charge‐based computations, high resistance,
Nada AbuHamra   +4 more
wiley   +1 more source

Sleep Disorders and Cardiac Consequences [PDF]

open access: yes, 2015
Educational Objectives: 1. Review the clear relationship between obstructive sleep apnea and hypertension. 2. Discuss the cardiac consequences of sleep apnea, including coronary heart disease, heart failure, and different dysrhythmias. 3. Understand that
Vorona, Robert D.
core   +1 more source

The contribution of fatigue and sleepiness to depression in patients attending the sleep laboratory for evaluation of obstructive sleep apnea [PDF]

open access: yes, 2011
Purpose: A high prevalence of depressive symptomatology has been reported amongst sufferers of obstructive sleep apnea (OSA), but it remains unclear as to whether this is due to their OSA or other factors associated with the disorder.
Downey, Luke   +5 more
core   +1 more source

Autonomous Recognition of Retained Secretions in Central‐Airway Based on Deep Learning for Adult Patients Receiving Invasive Mechanical Ventilation

open access: yesAdvanced Intelligent Systems, EarlyView.
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang   +6 more
wiley   +1 more source

Right ventricular echocardiographic parameters predict severe sleep apnea syndrome in patients with heart failure [PDF]

open access: yesExploration of Medicine
Aim: The study aimed to determine which right ventricle echocardiography parameters were associated with severe sleep apnea syndrome in heart failure patients with sleep apnea syndrome.
Saoussen Antit   +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

Neonatal Respiration Monitoring System with Synchronized Oxygen Supply and Machine Learning‐Based Breathing Classification

open access: yesAdvanced Intelligent Systems, EarlyView.
The study presents a low‐cost, noninvasive system for real‐time neonatal respiratory monitoring. A flexible, screen‐printed sensor patch captures chest movements with high sensitivity and minimal drift. Combined with machine learning, the system accurately detects breathing patterns and offers a practical solution for neonatal care in low‐resource ...
Gitansh Verma   +3 more
wiley   +1 more source

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