Sleep apnea: a review of diagnostic sensors, algorithms, and therapies

M Shokoueinejad, C Fernandez, E Carroll… - Physiological …, 2017 - iopscience.iop.org
While public awareness of sleep related disorders is growing, sleep apnea syndrome (SAS)
remains a public health and economic challenge. Over the last two decades, extensive …

Efficient obstructive sleep apnea classification based on EEG signals

WS Almuhammadi, KAI Aboalayon… - 2015 Long Island …, 2015 - ieeexplore.ieee.org
Nowadays, analyzing EEG signals has made it easy to diagnose many sleep-related
breathing disorders such as Obstructive Sleep Apnea (OSA), which is a potentially serious …

Sleep apnea detection using a feed-forward neural network on ECG signal

AM da Silva Pinho, N Pombo… - 2016 IEEE 18th …, 2016 - ieeexplore.ieee.org
This paper presents a suitable and efficient implementation for detecting minute based
analysis of sleep apnea by Electrocardiogram (ECG) signal processing. Using the …

k-NN-based classification of sleep apnea types using ECG

OHAN TİMUŞ, ED BOLAT - Turkish Journal of Electrical …, 2017 - journals.tubitak.gov.tr
Obstructive sleep apnea syndrome (OSAS) is a common sleep disorder that yields
cardiovascular diseases, excessive daytime sleepiness, and poor quality of life if not treated …

Usefulness of artificial neural networks in the diagnosis and treatment of sleep apnea-hypopnea syndrome

D Álvarez, A Cerezo-Hernández… - Sleep Apnea-Recent …, 2017 - books.google.com
Sleep apnea-hypopnea syndrome (SAHS) is a chronic and highly prevalent disease
considered a major health problem in industrialized countries. The gold standard diagnostic …

Challenges and Future Trends of EEG as a Frontier of Clinical Applications

A Haider, B Guragain - 2023 IEEE International Conference on …, 2023 - ieeexplore.ieee.org
The non-invasive techniques for diagnosis are rapidly increasing due to technological
advancement in medicine. The analysis of physiological signals reveals information about …

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 …

[PDF][PDF] An investigation of data mining based Automatic Sleep Stage Classification techniques

T Wongsirichot, N Elz… - … Journal of Machine …, 2019 - pdfs.semanticscholar.org
Sleep quality is highly significant for the people's overall health. A standard diagnosis for
sleep-related syndromes and illnesses is Polysomnography (PSG) or a sleep test in a …

Detection of sleep apnea based on HRV analysis of ECG signal

AJ Heima, S Arun Karthick, L Suganthi - Proceedings of the International …, 2019 - Springer
Sleep apnea is a breathing disorder which occurs during sleep. Sleep apnea causes more
health-threatening problems such as daytime sleepiness, fatigue and cognitive problems …

Brain and heart physiological networks analysis employing neural networks granger causality

AD Jaimes-Albarracin… - 2021 10th …, 2021 - ieeexplore.ieee.org
This paper presents the study of brain-heart interactions in pediatric patients diagnosed with
obstructive sleep apnea (OSA). A comparison between pre-and post-treatment stages was …