A review of automated sleep disorder detection
Automated sleep disorder detection is challenging because physiological symptoms can
vary widely. These variations make it difficult to create effective sleep disorder detection …
vary widely. These variations make it difficult to create effective sleep disorder detection …
Review of application of machine learning as a screening tool for diagnosis of obstructive sleep apnea
Obstructive sleep apnea syndrome (OSAS) is a pervasive disorder with an incidence
estimated at 5–14 percent among adults aged 30–70 years. It carries significant morbidity …
estimated at 5–14 percent among adults aged 30–70 years. It carries significant morbidity …
Navigating the doctor-patient-AI relationship-a mixed-methods study of physician attitudes toward artificial intelligence in primary care
Background Artificial intelligence (AI) is a rapidly advancing field that is beginning to enter
the practice of medicine. Primary care is a cornerstone of medicine and deals with …
the practice of medicine. Primary care is a cornerstone of medicine and deals with …
Evaluating multimodal wearable sensors for quantifying affective states and depression with neural networks
With the increasing proliferation of embedded sensors in wearable devices, there is
potential for modeling individual emotional and mental state variations. The popular …
potential for modeling individual emotional and mental state variations. The popular …
Design and conceptual proposal of an intelligent clinical decision support system for the diagnosis of suspicious obstructive sleep apnea patients from health profile
M Casal-Guisande, M Torres-Durán… - International journal of …, 2023 - mdpi.com
Obstructive Sleep Apnea (OSA) is a chronic sleep-related pathology characterized by
recurrent episodes of total or partial obstruction of the upper airways during sleep. It entails a …
recurrent episodes of total or partial obstruction of the upper airways during sleep. It entails a …
Novel method combining multiscale attention entropy of overnight blood oxygen level and machine learning for easy sleep apnea screening
Z Liang - Digital Health, 2023 - journals.sagepub.com
Objective Sleep apnea is a common sleep disorder affecting a significant portion of the
population, but many apnea patients remain undiagnosed because existing clinical tests are …
population, but many apnea patients remain undiagnosed because existing clinical tests are …
Comparison of composite lipid indices in patients with obstructive sleep apnoea
Purpose Obstructive sleep apnoea (OSA) is a recognised risk factor for cardiovascular
disease. However, it is difficult to evaluate the risk of cardiovascular disease in patients with …
disease. However, it is difficult to evaluate the risk of cardiovascular disease in patients with …
Investigating the feasibility of assessing depression severity and valence-arousal with wearable sensors using discrete wavelet transforms and machine learning
Depression is one of the most common mental health disorders, affecting approximately 280
million people worldwide. This condition is defined as emotional dysregulation resulting in …
million people worldwide. This condition is defined as emotional dysregulation resulting in …
Design of an intelligent decision support system applied to the diagnosis of obstructive sleep apnea
M Casal-Guisande, L Ceide-Sandoval… - Diagnostics, 2023 - mdpi.com
Obstructive sleep apnea (OSA), characterized by recurrent episodes of partial or total
obstruction of the upper airway during sleep, is currently one of the respiratory pathologies …
obstruction of the upper airway during sleep, is currently one of the respiratory pathologies …
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 …