抄録
Recently, we have proposed a low-cost and highly reliable monitoring device which is called the MIMAMORI device for a monitoring system at a medical institute. The MIMAMORI device can detect dangerous situations, such as when a patient is at risk of rolling out of bed. In this paper, we detail the patient state classification algorithm using a deep neural network of the MIMAMORI device, and verify its practical applicability with a preliminary experiment.
