Automated sleep disorder detection is challenging because physiological symptoms can
vary widely. These variations make it difficult to create effective sleep disorder detection …

Heart rate at rest and exercise may predict cardiovascular risk. Heart rate variability is a
measure of variation in time between each heartbeat, representing the balance between the …

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 sleeping. This reduction in …

Purpose Several artificial intelligence (AI) models for the detection and prediction of
cardiovascular-related diseases, including arrhythmias, diabetes, and sleep apnea, have …

Study Objectives: Machine learning (ML) models have been employed in the setting of sleep
disorders. This review aims to summarize the existing data about the role of ML techniques …

Sleep apnea is defined as a breathing disorder that affects sleep. Early detection of sleep
apnea helps doctors to take intervention for patients to prevent sleep apnea. Manually …

Chemical asphyxiation at petrochemical factories can provoke the unconsciousness or
death of factory workers through suffocation. Some chemicals vaporize and mix with air …

Drowsy driving detection is crucial for avoiding serious traffic accidents. Changes in sleep
conditions affect the autonomic nervous system (ANS) and, subsequently, heart rate …

Sleep apnea (SLA) is a respiratory-related sleep disorder that affects a major proportion of
the population. The gold standard in sleep testing, polysomnography, is costly, inconvenient …

Drowsy driving is a fatal problem that may cause traffic accidents. Although many driver
drowsiness detection methods have been proposed, most of them have problems in input …