Results 61 to 70 of about 153,533 (314)

Protocol for detecting unrecognized sleep apnea in patients with atrial fibrillation by a home-monitoring device: the DAN-APNO study

BMC Cardiovascular Disorders, 2022
Background Determining the presence of modifiable risk factors for atrial fibrillation (AF), such as sleep apnea is of clinical importance due to the potential impact targeting these risk factors can have on the progression and burden of AF.
Mads Hashiba Jensen, Frederik Dalgaard, Rasmus Rude Laub, Vibeke Gottlieb, Morten Lock Hansen, Olav Vendelboe, Jim Hansen, Morten Lamberts   +7 more
doaj   +1 more source

Empowering Flexible Electronics with Piezoelectric Nanogenerators: Breakthroughs from Energy Harvesting to Intelligent Sensing

Advanced Science, EarlyView.
This review systematically summarizes recent advances in self‐powered flexible sensing and energy storage systems based on piezoelectric nanogenerators (PENGs). It highlights their fundamental mechanisms, structural designs, and applications in health monitoring, e‐skin, and tactile sensing. The integration of PENGs with supercapacitors or batteries is
Wu‐Lin Xin, He‐Qing Cai, Xi Cui, Lu Han, Kou Zhang, Xin‐Yu Xue, Yi‐Fei Song, Juan Liu, Zhou Li   +8 more
wiley   +1 more source

Sleep Apnea [PDF]

Sleep Disorders, 2012
Thomas Konecny, Virend Somers
openaire   +4 more sources

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

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

Advanced 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, Zhuoran Xiao, Meng Wang, Jianchao Li, Chunjing Tao, Jiangzhen Guo, Yubo Fan   +6 more
wiley   +1 more source

A negative expiratory pressure test during wakefulness for evaluating the risk of obstructive sleep apnea in patients referred for sleep studies

Clinics, 2011
OBJECTIVE: Obstructive sleep apnea is characterized by increased upper airway collapsibility during sleep. The present study investigated the use of the negative expiratory pressure test as a method to rule out obstructive sleep apnea.
Salvatore Romano, Adriana Salvaggio, Anna Lo Bue, Oreste Marrone, Giuseppe Insalaco   +4 more
doaj   +1 more source

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

Advanced 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, Eugen Koch, Andreas Dietzel, Shrutidhara Sarma   +3 more
wiley   +1 more source

Repurposing With Purpose: Treatment of Bachmann–Bupp Syndrome With Eflornithine and Implications for Other Polyaminopathies

American Journal of Medical Genetics Part C: Seminars in Medical Genetics, EarlyView.
ABSTRACT Rare diseases impact approximately 1 in 10 people worldwide, and yet, less than 5% of all rare diseases currently have an approved treatment option available. This is due to many challenges unique to rare diseases, including small, diverse patient populations, the cost of drug development that is not proportionate to the number of patients who
Caleb P. Bupp, Elizabeth A. VanSickle, Julianne Michael, Chad R. Schultz, Kelly Nguyen, Melissa Hoefer, Surender Rajasekaran, André S. Bachmann   +7 more
wiley   +1 more source

Integrating medical rules to assist attention for sleep apnea detection [PDF]

, 2023
Jianqiang Li, Xiaoxiao Song, Yanning Lin, Junya Wang, Dongying Guo, Jie Chen   +5 more
openalex   +1 more source

Descriptive Epidemiology From the Myhre Syndrome Foundation Registry: The Value of Self‐Reported Data

American Journal of Medical Genetics Part C: Seminars in Medical Genetics, EarlyView.
ABSTRACT Myhre syndrome is an ultrarare genetic disease characterized by short stature, distinct craniofacial features, cardiovascular and respiratory fibrosis and stenosis, neurodevelopmental delays, autism, intellectual disability, and hearing loss. The natural history of Myhre syndrome is still not fully understood due to a small patient population ...
Mary K. Young, Armelle Pindon, Maggie R. Brand, Kate Wears, Katherine H. Young, Alyssa Mendel, Michael J. Lyons   +6 more
wiley   +1 more source