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What is Insomnia

Advancing the Investigation and Treatment of Sleep Disorders Using AI
It is defined as the inability to sleep.
Published in Chapter:
Machine Learning Techniques to Identify and Characterize Sleep Disorders Using Biosignals
Mercedes Barrachina (Universidad Politécnica de Madrid, Spain) and Laura Valenzuela López (Universidad Politécnica de Madrid, Spain)
DOI: 10.4018/978-1-7998-8018-9.ch008
Abstract
Sleep disorders are related to many different diseases, and they could have a significant impact in patients' health, causing an economic impact to the society and to the national health systems. In the United States, according to information from the Center for Disease Control and Prevention, those disorders are affecting 50-70 million in the adult population. Sleep disorders are causing annually around 40,000 deaths due to cardiovascular problems, and they cost the health system more than 16 billion. In other countries, such as in Spain, those disorders affect up to 48% of the adult population. The main objective of this chapter is to review and evaluate the different machine learning techniques utilized by researchers and medical professionals to identify, assess, and characterize sleep disorders. Moreover, some future research directions are proposed considering the evaluated area.
Full Text Chapter Download: US $37.50 Add to Cart
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Relax Player App With Relaxation Melodies and Different Sounds
This is a sleep disorder that entails sleeplessness, or in other words, wakefulness.
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Mobile Apps for Human Nutrition: A Review
Lack of sleep because of neurological disorders.
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Sleep and Sleep Disorders in Old Age: Assessment and Non-Pharmacological Management
Has been historically defined by patterns of inappropriate wakefulness that occur during the sleep period. It is a disorder involving the inability to fall asleep or maintain sleep.
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