There are more than 80 different sleep disorders including insomnia, sleep apnea, restless leg syndrome, hypersomnia, circadian rhythm disorders, and parasomnia. Good sleep is necessary for optimal health and can affect hormone levels and weight. The use of artificial intelligence (AI) and biomedical signals and images can help in healthcare diagnostics that are related to these and other sleep disorders. Advancing the Investigation and Treatment of Sleep Disorders Using AI presents an overview of sleep disorders based on machine intelligence methods in order to learn and explore the latest advancements, developments, methods, systems, futuristic approaches, and algorithms towards sleep disorders and to address their challenges. This book also discusses recent and future advancements in various feature extraction techniques and machine learning methods. Covering topics such as biomedical signal processing, augmented reality for clinical investigation, and sleep disorder detection, this book is essential for sleep medicine practitioners, clinical psychologists, psychiatrists, medical technologists, doctors, IT specialists, biomedical engineers, researchers, graduate students, and academicians.

This book disseminates information on paper-based diagnostics devices and describes novel paper materials, fabrication techniques, and Basic Paper-based microfluidics/electronics theory. The section on sample preparation, paper-based electronics/sensors for developing paper-based point-of-care (POC) systems also contains detailed descriptions. In the application sections this book covers sensing technique for DNA/RNA, bacteria/virus and integration of lateral flow assay. The book provides deep understanding and knowledge of paper-based diagnostic device development in terms of concept, materials, fabrication and applications.

A DAVIS NOTES BOOK This handy, pocket-sized guide by Marjory Gordon uses functional health patterns to help your students acquire the most relevant assessment data to determine nursing diagnoses, and to select the most appropriate nursing interventions--emphasizing the essential connection between diagnostic judgment and therapeutic judgment.