Abstract
This paper describes a new type of health monitoring sensor that can be used at hospital as well as at home. An air cushion laid out on the bed, a fine pressure sensor that detects the pressure of air in the air cushion and filters are the components of the non-invasive sensing system. The human body movements due to such as the heart beat, respiration, snoring and turning over directly influence to the pressure and the causes of the movement can be discriminated by the proper filtering. Here we investigate the pneumatic characteristics of the air in the cushion via a mathematical model and show the effective filtering to eliminate the ill pneumatic characteristics and further to discriminate the changes due to various body movements. This sensing system can monitor unattended an unusual behaviors and urgencies during the sleep.
