[HTML][HTML] Detection of sleep apnea from electrocardiogram and pulse oximetry signals using random forest
J Zhu, A Zhou, Q Gong, Y Zhou, J Huang, Z Chen - Applied Sciences, 2022 - mdpi.com
Sleep apnea (SA) is a common sleep disorder which could impair the human physiological
system. Therefore, early diagnosis of SA is of great interest. The traditional method of …
system. Therefore, early diagnosis of SA is of great interest. The traditional method of …
[HTML][HTML] A hybrid feature selection and extraction methods for sleep apnea detection using bio-signals
People with sleep apnea (SA) are at increased risk of having stroke and cardiovascular
diseases. Polysomnography (PSG) is used to detect SA. This paper conducts feature …
diseases. Polysomnography (PSG) is used to detect SA. This paper conducts feature …
[HTML][HTML] ECG and SpO2 signal-based real-time sleep apnea detection using feed-forward artificial neural network
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 …
during sleep. Polysomnography (PSG) is the gold standard for apnea diagnosis, but it is time …
Sleep apnea classification using random forest via ECG
AP Razi, Z Einalou, M Manthouri - Sleep and Vigilance, 2021 - Springer
Sleep apnea (SA) is among the most common sleep-related disorders, which is defined as
the interruption of airflow in the airways for at least 10 s. Apnea can lead to different types of …
the interruption of airflow in the airways for at least 10 s. Apnea can lead to different types of …
[HTML][HTML] Sleep Apnea Detection Using Wavelet Scattering Transformation and Random Forest Classifier
AI Sharaf - Entropy, 2023 - mdpi.com
Obstructive Sleep Apnea (OSA) is a common sleep-breathing disorder that highly reduces
the quality of human life. The most powerful method for the detection and classification of …
the quality of human life. The most powerful method for the detection and classification of …
[HTML][HTML] Sleep apnea classification algorithm development using a machine-learning framework and bag-of-features derived from electrocardiogram spectrograms
CY Lin, YW Wang, F Setiawan, NTH Trang… - Journal of Clinical …, 2021 - mdpi.com
Background: Heart rate variability (HRV) and electrocardiogram (ECG)-derived respiration
(EDR) have been used to detect sleep apnea (SA) for decades. The present study proposes …
(EDR) have been used to detect sleep apnea (SA) for decades. The present study proposes …
Sleep–wake stage detection with single channel ECG and hybrid machine learning model in patients with obstructive sleep apnea
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 …
this step is performed by a physician who visually scores the electroencephalography …
Detection of abnormal respiratory events with single channel ECG and hybrid machine learning model in patients with obstructive sleep apnea
Respiratory scoring is an important step in the diagnosis of Obstructive Sleep Apnea (OSA).
Airflow, abdolmel-thorax and pulse oximetry signals are obtained with the help of …
Airflow, abdolmel-thorax and pulse oximetry signals are obtained with the help of …
Real-time sleep apnea detection by classifier combination
B Xie, H Minn - IEEE Transactions on information technology in …, 2012 - ieeexplore.ieee.org
To find an efficient and valid alternative of polysomnography (PSG), this paper investigates
real-time sleep apnea and hypopnea syndrome (SAHS) detection based on …
real-time sleep apnea and hypopnea syndrome (SAHS) detection based on …
A method to detect sleep apnea based on deep neural network and hidden Markov model using single-lead ECG signal
K Li, W Pan, Y Li, Q Jiang, G Liu - Neurocomputing, 2018 - Elsevier
Obstructive sleep apnea (OSA) is the most common sleep-related breathing disorder that
potentially threatened people's cardiovascular system. As an alternative to …
potentially threatened people's cardiovascular system. As an alternative to …