Detecting abnormal behaviour by real-tlme monitoring of patients
Éric Campo, Ming-Yao Chan · 2002
This paper deals with a follow-up system that passively observes elderly people moving about in a hospital setting and records automatically various patterns of activity. The aim is to propose a support tool to help the medical staff make decisions. The system is based on a sensor network connected to a processing unit. The software developed automatically follows the patient’s behaviour and plots statistical curves related to a number of characteristics such as getting up, going to bed, going to the bathroom, etc .... Thus real-time monitoring can be displayed on a graphical interface for the medical staff. Experimental platform using this system is presented along with examples of behaviour monitored during the night.