[HTML][HTML] Ensemble of deep learning models for sleep apnea detection: an experimental study
Sleep Apnea is a breathing disorder occurring during sleep. Older people suffer most from
this disease. In-time diagnosis of apnea is needed which can be observed by the application …
this disease. In-time diagnosis of apnea is needed which can be observed by the application …
Detection of obstructive sleep apnoea by ecg signals using deep learning architectures
Obstructive Sleep Apnoea (OSA) is a breathing disorder that happens during sleep and
general anaesthesia. This disorder can affect human life considerably. Early detection of …
general anaesthesia. This disorder can affect human life considerably. Early detection of …
[HTML][HTML] A survey on recent advances in machine learning based sleep apnea detection systems
A Ramachandran, A Karuppiah - Healthcare, 2021 - mdpi.com
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 …
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 …
Obstructive sleep apnea detection using combination of CNN and LSTM techniques
X Liang, X Qiao, Y Li - 2019 IEEE 8th joint international …, 2019 - ieeexplore.ieee.org
This paper proposed a novel DL method for OSA detection. RR intervals (RRIs) was
extracted from Apnea ECG signals at the first stage, which reduced computational …
extracted from Apnea ECG signals at the first stage, which reduced computational …
A deep learning model developed for sleep apnea detection: A multi-center study
Objective. Manual detection of obstructive sleep apnea (OSA) is a challenging task for many
reasons such as time-consuming and subjective. This study aimed to develop a deep …
reasons such as time-consuming and subjective. This study aimed to develop a deep …
Automatic detection of obstructive sleep apnea events using a deep CNN‐LSTM model
J Zhang, Z Tang, J Gao, L Lin, Z Liu… - Computational …, 2021 - Wiley Online Library
Obstructive sleep apnea (OSA) is a common sleep‐related respiratory disorder. Around the
world, more and more people are suffering from OSA. Because of the limitation of monitor …
world, more and more people are suffering from OSA. Because of the limitation of monitor …
Single-lead ECG based multiscale neural network for obstructive sleep apnea detection
Obstructive sleep apnea (OSA) is a common sleep disorder characterized by frequent
cessation of breathing during sleep, which cannot be easily diagnosed at the early stage …
cessation of breathing during sleep, which cannot be easily diagnosed at the early stage …
[HTML][HTML] Efficient Deep Learning Based Hybrid Model to Detect Obstructive Sleep Apnea
An increasing number of patients and a lack of awareness about obstructive sleep apnea is
a point of concern for the healthcare industry. Polysomnography is recommended by health …
a point of concern for the healthcare industry. Polysomnography is recommended by health …
[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 …