Wireless nanosensor system for diagnosis of sleep disorders

Mouli Ramasamy; Vijay K. Varadan

doi:10.1117/12.2219621

21 July 2016 Wireless nanosensor system for diagnosis of sleep disorders

Mouli Ramasamy, Vijay K. Varadan

Proceedings Volume 9802, Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2016; 98021F (2016) https://doi.org/10.1117/12.2219621
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2016, Las Vegas, Nevada, United States

Abstract

A good night's sleep plays a vital role in physical and mental wellbeing by performing the recuperative function for the brain and the body. Notwithstanding the fact that, good sleep is an essential part of a person's life, an increasing number of people are experiencing sleep disorders and loss of sleep. According to the research by the National Institutes of Health (NIH), 50 to 70 million Americans suffer from sleep disorders and sleep deprivation. Although sleep disorder is a highly prevalent condition like diabetes or asthma, 80 to 90 percent of the cases remain undiagnosed. The short-term effects of sleep disorder are morning headaches, excessive daytime sleepiness, shot-term memory loss and depression, but the cumulative long-term effects result in severe health consequences like heart attacks and strokes. In addition, people suffering from sleep disorders are 7.5 times more likely to have a higher body mass index and 2.5 times more likely to have diabetes. Further, undiagnosed and untreated sleep disorders have a significant direct and indirect economic impact. The costs associated with untreated sleep disorders are far higher than the costs for adequate treatment. According to the survey, approximately 16 billion of dollars are spent on medical expenses associated with repeated doctor visits, prescriptions and medications.

Citation Download Citation

Mouli Ramasamy and Vijay K. Varadan "Wireless nanosensor system for diagnosis of sleep disorders", Proc. SPIE 9802, Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2016, 98021F (21 July 2016); https://doi.org/10.1117/12.2219621

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