Abstract
Sleep plays an important role in a healthy lifestyle together with nutrition and exercise. Many modern people suffer from sleep problems such as its insufficiency because of their busyness and time limitation in our modern lifestyles. Recently, many studies have proved associations among sleep and lifestyle diseases such as hypertension and diabetes. Additionally, following sleep matters could be pointed out. The ideal quantity and quality of sleep depends on the individual and their health condition. Sleep conditions are affected by various internal and external factors; e.g., stress and environmental noises respectively. In addition, improving sleep generally requires long-term treatment from months to years. It has been difficult to perform objective long-term measurements because present methods generally employ questionnaire and polysomnography to investigate the patient's sleep condition in medical field. However, they would be subjective and high intrusive. In response to the concerns, a contactless sleep monitor has been developed by employing radiofrequency motion sensor. Web based sleep improvement supporting system is also developed. The monitor communicates with ICT devices through either wired or wireless communication to send the sleep data and accumulate them into database. In this article, a sleep pattern classification program which can automatically extract user's sleep problem is introduced by the methods and the experimental results based on the accumulated data in Japan.
