Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] A systematic review of detecting sleep apnea using deep learning
Sleep apnea is a sleep related disorder that significantly affects the population.
Polysomnography, the gold standard, is expensive, inaccessible, uncomfortable and an …
Polysomnography, the gold standard, is expensive, inaccessible, uncomfortable and an …
[HTML][HTML] A survey on recent advances in machine learning based sleep apnea detection systems
Sleep apnea is a sleep disorder that affects a large population. This disorder can cause or
augment the exposure to cardiovascular dysfunction, stroke, diabetes, and poor productivity …
augment the exposure to cardiovascular dysfunction, stroke, diabetes, and poor productivity …
Detection of sleep apnea using deep neural networks and single-lead ECG signals
Sleep apnea causes frequent cessation of breathing during sleep. Feature extraction
approaches play a key role in the performance of apnea detection algorithms that use single …
approaches play a key role in the performance of apnea detection algorithms that use single …
Automated sleep apnea detection in raw respiratory signals using long short-term memory neural networks
Sleep apnea is one of the most common sleep disorders and the consequences of
undiagnosed sleep apnea can be very severe, ranging from increased blood pressure to …
undiagnosed sleep apnea can be very severe, ranging from increased blood pressure to …
Classification of Obstructive Sleep Apnoea from single-lead ECG signals using convolutional neural and Long Short Term Memory networks
Abstract Obstructive Sleep Apnoea (OSA) is a breathing disorder that happens during sleep.
Polysomnography (PSG) is typically used as a reference standard for the diagnosis of OSA …
Polysomnography (PSG) is typically used as a reference standard for the diagnosis of OSA …
Automatic detection of sleep apnea from single-lead ECG signal using enhanced-deep belief network model
PK Tyagi, D Agrawal - Biomedical Signal Processing and Control, 2023 - Elsevier
Sleep apnea (SLA) is a commonly reported sleep disorder that is characterized by frequent
breathing interruptions during sleep. In recent years, various approaches have been made …
breathing interruptions during sleep. In recent years, various approaches have been made …
Single sensor techniques for sleep apnea diagnosis using deep learning
A large number of obstructive sleep apnea (OSA) cases are under-diagnosed due
unavailability, inconvenience or expense of sleep labs. Hence, an automated detection by …
unavailability, inconvenience or expense of sleep labs. Hence, an automated detection by …
Automatic system for obstructive sleep apnea events detection using convolutional neural network
L Cen, ZL Yu, T Kluge, W Ser - 2018 40th annual international …, 2018 - ieeexplore.ieee.org
Obstructive Sleep Apnea (OSA) is characterized by repetitive episodes of airflow reduction
(hypopnea) or cessation (apnea), which, as a prevalent sleep disorder, can cause people to …
(hypopnea) or cessation (apnea), which, as a prevalent sleep disorder, can cause people to …
Energy-efficient FPGA based sleep apnea detection using EEG signals
Sleep apnea is a prevalent sleep disorder characterized by frequent interruptions in
breathing during sleep, leading to decreased levels of blood oxygen. This research …
breathing during sleep, leading to decreased levels of blood oxygen. This research …
[HTML][HTML] Portable sleep apnea syndrome screening and event detection using long short-term memory recurrent neural network
HC Chang, HT Wu, PC Huang, HP Ma, YL Lo… - Sensors, 2020 - mdpi.com
Obstructive sleep apnea/hypopnea syndrome (OSAHS) is characterized by repeated airflow
partial reduction or complete cessation due to upper airway collapse during sleep. OSAHS …
partial reduction or complete cessation due to upper airway collapse during sleep. OSAHS …