Sleep-disordered breathing, ranging from habitual snoring to severe obstructive sleep
apnea, is a prevalent public health issue. Despite rising interest in sleep and awareness of …

Big data analytics are gaining popularity in medical engineering and healthcare use cases.
Stakeholders are finding big data analytics reduce medical costs and personalise medical …

The exponential growth in the data collected in the form of electronic health records,
registries, or wearable sensors has bought a big data revolution in the health industry. A …

Artificial intelligence (AI) allows analysis of “big data” combining clinical, environmental and
laboratory based objective measures to allow a deeper understanding of sleep and sleep …

Obstructive Sleep Apnea (OSA) arises due to periodic blockage of the upper airway (UA)
during sleep, as negative pressure generated during inspiration overcomes the force …

In all fields of medicine, major efforts are currently dedicated to improve the clinical,
physiological and therapeutic understanding of disease, and obstructive sleep apnoea …

Sleep is a period of rest that is essential for functional learning ability, mental health, and
even the performance of normal activities. Insomnia, sleep apnea, and restless legs are all …

Background While the longer-term Obstructive Sleep apnea (OSA)-related intermittent
hypoxia (IH) leads to various comorbidities, it has become increasingly evident that OSA …

Sleep disorders have reached epidemic proportions worldwide, affecting the youth as well
as the elderly, crossing the entire lifespan in both developed and developing countries.“Real …

Today, Big Data analytics is used in multiple areas. We introduce the characteristics of big
data, visualization tools of big data, chief prospects of utilizing big data in healthcare …