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The role of artificial neural network and machine learning in utilizing spatial information
In this age of the fourth industrial revolution 4.0, the digital world has a plethora of data,
including the internet of things, mobile, cybersecurity, social media, forecasts, health data …
including the internet of things, mobile, cybersecurity, social media, forecasts, health data …
Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works
Apnea is a sleep disorder that stops or reduces airflow for a short time during sleep. Sleep
apnea may last for a few seconds and happen for many while slee**. This reduction in …
apnea may last for a few seconds and happen for many while slee**. This reduction in …
[HTML][HTML] Deep neural network technique for automated detection of ADHD and CD using ECG signal
Abstract Background and objective Attention Deficit Hyperactivity problem (ADHD) is a
common neurodevelopment problem in children and adolescents that can lead to long-term …
common neurodevelopment problem in children and adolescents that can lead to long-term …
[HTML][HTML] A deep learning approach for atrial fibrillation classification using multi-feature time series data from ecg and ppg
Atrial fibrillation is a prevalent cardiac arrhythmia that poses significant health risks to
patients. The use of non-invasive methods for AF detection, such as Electrocardiogram and …
patients. The use of non-invasive methods for AF detection, such as Electrocardiogram and …
Ensemble computational intelligent for insomnia sleep stage detection via the sleep ECG signal
Insomnia is a common sleep disorder in which patients cannot sleep properly. Accurate
detection of insomnia disorder is a crucial step for mental disease analysis in the early …
detection of insomnia disorder is a crucial step for mental disease analysis in the early …
Portable evaluation of obstructive sleep apnea in adults: A systematic review
YH Khor, SW Khung, WR Ruehland, Y Jiao, J Lew… - Sleep Medicine …, 2023 - Elsevier
Obstructive sleep apnea (OSA) is a significant healthcare burden affecting approximately
one billion people worldwide. The prevalence of OSA is rising with the ongoing obesity …
one billion people worldwide. The prevalence of OSA is rising with the ongoing obesity …
RAFNet: Restricted attention fusion network for sleep apnea detection
Sleep apnea (SA) is a common sleep-related breathing disorder, which would lead to
damage of multiple systemic organs or even sudden death. In clinical practice, portable …
damage of multiple systemic organs or even sudden death. In clinical practice, portable …
Applying machine learning algorithms for the classification of sleep disorders
T Alshammari - IEEE Access, 2024 - ieeexplore.ieee.org
Sleep disorder classification is crucial in improving human quality of life. Sleep disorders
and apnoea can have a significant influence on human health. Sleep-stage classification by …
and apnoea can have a significant influence on human health. Sleep-stage classification by …
Sleepfm: Multi-modal representation learning for sleep across brain activity, ecg and respiratory signals
Sleep is a complex physiological process evaluated through various modalities recording
electrical brain, cardiac, and respiratory activities. We curate a large polysomnography …
electrical brain, cardiac, and respiratory activities. We curate a large polysomnography …
[HTML][HTML] Detection of sleep apnea using wearable AI: systematic review and meta-analysis
Background Early detection of sleep apnea, the health condition where airflow either ceases
or decreases episodically during sleep, is crucial to initiate timely interventions and avoid …
or decreases episodically during sleep, is crucial to initiate timely interventions and avoid …