A systematic review of deep learning methods for modeling electrocardiograms during sleep

C Sun, S Hong, J Wang, X Dong… - Physiological …, 2022 - iopscience.iop.org
Sleep is one of the most important human physiological activities, and plays an essential
role in human health. Polysomnography (PSG) is the gold standard for measuring sleep …

The fusion of Internet of Intelligent Things (IoIT) in remote diagnosis of obstructive Sleep Apnea: A survey and a new model

M Abdel-Basset, W Ding, L Abdel-Fatah - Information Fusion, 2020 - Elsevier
Abstract Obstructive Sleep Apnea (OSA) syndrome is one of the most widespread diseases
that difficult to be detected and remedied. In particular, the examination of OSA by using the …

Sleep apnea detection using electrocardiogram signal input to FAWT and optimize ensemble classifier

H Pant, HK Dhanda, S Taran - Measurement, 2022 - Elsevier
Sleep apnea refers to a sleep disorder consist of inconsistent breathing during sleep for
extensive duration of time. During this, one faces difficulty in breathing leading to loss of …

Recognition of patient groups with sleep related disorders using bio-signal processing and deep learning

D Jarchi, J Andreu-Perez, M Kiani, O Vysata… - Sensors, 2020 - mdpi.com
Accurately diagnosing sleep disorders is essential for clinical assessments and treatments.
Polysomnography (PSG) has long been used for detection of various sleep disorders. In this …

Epileptic prediction using spatiotemporal information combined with optimal features strategy on EEG

L Zhong, J Wan, F Yi, S He, J Wu, Z Huang… - Frontiers in …, 2023 - frontiersin.org
Objective Epilepsy is the second most common brain neurological disease after stroke,
which has the characteristics of sudden and recurrence. Seizure prediction is seriously …

Spectrogram classification of patient chin electromyography based on deep learning: A novel method for accurate diagnosis obstructive sleep apnea

B Moradhasel, A Sheikhani, O Aloosh… - … Signal Processing and …, 2023 - Elsevier
Obstructive sleep apnea (OSA) is the most common sleep-related breathing disorder and
the cause is an increased upper airway resistance during sleep, leading to partial or …

[PDF][PDF] Obstructive sleep apnea detection using ECG signal: A survey

AA Khatami, MAC Sebayang, A Rizal… - Technology Reports of …, 2020 - researchgate.net
Obstructive Sleep Apnea (OSA) is a disturbance of breathing during sleep with loud snoring
and cessation of breath in short periods. OSA research has become a widely researched …

Obstructive Sleep Apnea Detection from ECG Signals with Deep Learning

JA Shilvya, PSH Jose - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
Among the newer problems that have been linked to heart disease, hypertension,
sleeplessness, and other ailments in recent years is sleep related disorders. One such …

Automatic Epileptic Seizure Detection Based on EEG Signals Using Deep Learning

MK Moridani, SSJ Behnam… - Artificial Intelligence …, 2021 - ojs.wiserpub.com
About one percent of the world's population suffers from epilepsy. A patient with epilepsy
must be diagnosed early and accurately if they are to have any chance of being treated …

Obstructive Sleep Apnea Detection based on ECG Signal using Statistical Features of Wavelet Subband

S Hadiyoso, A Rizal, H Fauzi, R Widadi - International journal of …, 2022 - hrcak.srce.hr
Sažetak One of the respiratory disorders is obstructive sleep apnea (OSA). OSA occurs
when a person sleeps. OSA causes breathing to stop momentarily due to obstruction in the …