A review of obstructive sleep apnea detection approaches
F Mendonca, SS Mostafa… - IEEE journal of …, 2018 - ieeexplore.ieee.org
Sleep disorders are a common health condition that can affect numerous aspects of life.
Obstructive sleep apnea is one of the most common disorders and is characterized by a …
Obstructive sleep apnea is one of the most common disorders and is characterized by a …
Classification methods to detect sleep apnea in adults based on respiratory and oximetry signals: a systematic review
Objective: Sleep apnea (SA), a common sleep disorder, can significantly decrease the
quality of life, and is closely associated with major health risks such as cardiovascular …
quality of life, and is closely associated with major health risks such as cardiovascular …
Diagnosis of obstructive sleep apnea from ECG signals using machine learning and deep learning classifiers
Obstructive sleep apnea (OSA) is a well-known sleep ailment. OSA mostly occurs due to the
shortage of oxygen for the human body, which causes several symptoms (ie, low …
shortage of oxygen for the human body, which causes several symptoms (ie, low …
Automated sleep apnea detection in raw respiratory signals using long short-term memory neural networks
T Van Steenkiste, W Groenendaal… - IEEE journal of …, 2018 - ieeexplore.ieee.org
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 …
Online obstructive sleep apnea detection on medical wearable sensors
Obstructive Sleep Apnea (OSA) is one of the main under-diagnosed sleep disorder. It is an
aggravating factor for several serious cardiovascular diseases, including stroke. There is …
aggravating factor for several serious cardiovascular diseases, including stroke. There is …
Deep recurrent neural networks for automatic detection of sleep apnea from single channel respiration signals
Sleep apnea is a common sleep disorder that causes repeated breathing interruption during
sleep. The performance of automated apnea detection methods based on respiratory …
sleep. The performance of automated apnea detection methods based on respiratory …
Obstructive sleep apnoea detection using convolutional neural network based deep learning framework
This letter presents an automated obstructive sleep apnoea (OSA) detection method with
high accuracy, based on a deep learning framework employing convolutional neural …
high accuracy, based on a deep learning framework employing convolutional neural …
[Retracted] Development of an IoT‐Based Sleep Apnea Monitoring System for Healthcare Applications
AR Dhruba, KN Alam, MS Khan… - … Methods in Medicine, 2021 - Wiley Online Library
Sleep is an essential and vital element of a person's life and health that helps to refresh and
recharge the mind and body of a person. The quality of sleep is very important in every …
recharge the mind and body of a person. The quality of sleep is very important in every …
Sleep apnea detection based on thoracic and abdominal movement signals of wearable piezoelectric bands
YY Lin, HT Wu, CA Hsu, PC Huang… - IEEE journal of …, 2016 - ieeexplore.ieee.org
Physiologically, the thoracic (THO) and abdominal (ABD) movement signals, captured using
wearable piezoelectric bands, provide information about various types of apnea, including …
wearable piezoelectric bands, provide information about various types of apnea, including …
Portable detection of apnea and hypopnea events using bio-impedance of the chest and deep learning
T Van Steenkiste, W Groenendaal… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Sleep apnea is one of the most common sleep-related breathing disorders. It is diagnosed
through an overnight sleep study in a specialized sleep clinic. This setup is expensive and …
through an overnight sleep study in a specialized sleep clinic. This setup is expensive and …