An efficient method to detect sleep hypopnea-apnea events based on EEG signals

Y Wang, S Ji, T Yang, X Wang, H Wang, X Zhao - IEEE Access, 2020 - ieeexplore.ieee.org
Hypopnea refers to the state in which insufficient alveolar ventilation during night sleep
decreases the respiratory airflow by more than 50% of the airflow. However, sleep apnea is …

Automatic Detection of Sleep Apnea from Single-lead ECG Signal Using Machine Learning

A Bhongade, R Gupta… - … Conference on Futuristic …, 2022 - ieeexplore.ieee.org
Sleep apnea is a common disorder that reduces sleep quality which can lead to serious
health consequences. It is identified by a pause in breathing during sleep. At present …

A reliable algorithm based on combination of EMG, ECG and EEG signals for sleep apnea detection:(a reliable algorithm for sleep apnea detection)

MK Moridani, M Heydar… - 2019 5th conference on …, 2019 - ieeexplore.ieee.org
Sleep Apnea Syndrome is one of the most common and dangerous causes of sleep disorder
that the suspected patients are tested (examined) by recording various types of vital signals …

Sleep apnea detection using with EEG, ECG and respiratory signals

MF Akşahın, A Erdamar, A Işik… - 2017 25th Signal …, 2017 - ieeexplore.ieee.org
Sleep apnea is one of the major sleep disorders of today. The diagnosis of sleep apnea is
performed by specialist physicians. This situation extends the duration of the diagnosis. To …

Sleep–wake stage detection with single channel ECG and hybrid machine learning model in patients with obstructive sleep apnea

F Bozkurt, MK Uçar, C Bilgin, A Zengin - Physical and Engineering …, 2021 - Springer
Sleep staging is an important step in the diagnosis of obstructive sleep apnea (OSA) and
this step is performed by a physician who visually scores the electroencephalography …

[HTML][HTML] ECG and SpO2 signal-based real-time sleep apnea detection using feed-forward artificial neural network

T Paul, O Hassan, K Alaboud, H Islam… - AMIA Summits on …, 2022 - ncbi.nlm.nih.gov
Sleep apnea (SA) is a common sleep disorder characterized by respiratory disturbance
during sleep. Polysomnography (PSG) is the gold standard for apnea diagnosis, but it is time …

[HTML][HTML] Classification of sleep apnea based on EEG sub-band signal characteristics

X Zhao, X Wang, T Yang, S Ji, H Wang, J Wang… - Scientific Reports, 2021 - nature.com
Sleep apnea syndrome (SAS) is a disorder in which respiratory airflow frequently stops
during sleep. Alterations in electroencephalogram (EEG) signal are one of the physiological …

Real-time apnea-hypopnea event detection during sleep by convolutional neural networks

SH Choi, H Yoon, HS Kim, HB Kim, HB Kwon… - Computers in biology …, 2018 - Elsevier
Sleep apnea-hypopnea event detection has been widely studied using various biosignals
and algorithms. However, most minute-by-minute analysis techniques have difficulty …

Detection of sleep apnea using deep neural networks and single-lead ECG signals

A Zarei, H Beheshti, BM Asl - Biomedical Signal Processing and Control, 2022 - Elsevier
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 …

[HTML][HTML] Contribution of different subbands of ECG in sleep apnea detection evaluated using filter bank decomposition and a convolutional neural network

CY Yeh, HY Chang, JY Hu, CC Lin - Sensors, 2022 - mdpi.com
A variety of feature extraction and classification approaches have been proposed using
electrocardiogram (ECG) and ECG-derived signals for improving the performance of …