Speed and Accuracy Trade-off ANN/SVM Based Sleep Apnea Detection with FPGA Implementation

T Bonny, M Qatmh, K Obaideen… - Computer Methods in …, 2023 - Taylor & Francis
During sleep, some people experience breathing difficulties, leading to a condition known
as sleep apnoea, which can result in suffocation. This study focuses on detecting sleep …

Sleep Apnea detecting based on ECG and EEG signals using Discrete Wavelet Transform and Artificial Neural Network

AA Hammal, T Bonney, WA Nassan, K Obaideen - 2022 - IET
Sleep apnea is a severe sleep disorder that happens when breathing stops and starts
during slumber. If it goes untreated, it can cause serious health problems. In recent years …

[HTML][HTML] Real-Time Obstructive Sleep Apnea Detection from Raw ECG and SpO2 Signal Using Convolutional Neural Network

T Paul, O Hassan, SK Islam… - AMIA Summits on …, 2024 - ncbi.nlm.nih.gov
Obstructive sleep apnea is a sleep disorder that is linked with many health complications
and severe form of apnea can even be lethal. Overnight polysomnography is the gold …

[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 …

Clinical practice for diagnostic causes for obstructive sleep apnea using artificial intelligent neural networks

M Alsalamah, S Amin, V Palade - … , iCETiC 2018, London, UK, August 23 …, 2018 - Springer
Sleep apnea is a serious sleep disorder phenomena which happens when a person's
breathing is paused during sleep. The most common diagnostic technique that is used to …

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 …

Detection of obstructive sleep apnea using deep neural network

M Alsalamah, S Amin, V Palade - … of Big Data Analytics: Trends, Issues …, 2018 - Springer
Sleep apnea is a serious sleep disorder phenomena that occurs when a person's breathing
is interrupted during sleep. The most common diagnostic technique that is used to deal with …

Ensemble of deep learning models for sleep apnea detection: an experimental study

D Mukherjee, K Dhar, F Schwenker, R Sarkar - Sensors, 2021 - mdpi.com
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 …

Energy efficient deep learning inference embedded on FPGA for sleep apnea detection

O Hassan, T Paul, MH Shuvo, D Parvin… - Journal of Signal …, 2022 - Springer
Sleep apnea is a type of disorder caused by the absence of breathing for a specific period of
time coupled with a significant decrease in the blood oxygen saturation level. The …

A sleep apnea detection system based on a one-dimensional deep convolution neural network model using single-lead electrocardiogram

HY Chang, CY Yeh, CT Lee, CC Lin - Sensors, 2020 - mdpi.com
Many works in recent years have been focused on developing a portable and less
expensive system for diagnosing patients with obstructive sleep apnea (OSA), instead of …