E-Care telemonitoring system: Extend the platform

In most developed countries; telemonitoring is increasingly used, due to the increasing of life expectancy and chronic diseases that accompany them. Indeed, chronic diseases are responsible for health care costs increasingly growing and remote monitoring systems provide a mean to monitor patients and their needs in the comfort of their own homes, with minimal costs. In older systems, the data were collected and sent directly to the medical experts to be interpreted. With technological advancements, software and systems have been developed for on-site data processing. In this paper, we present E-Care a telemonitoring platform that combines the semantic web and artificial intelligence. E-Care is based on generic ontologies and a decision support system. Ontologies provide knowledge for decision support. The decision support system is based on an inference engine; this engine is used for monitoring the health of the patient and the detection of abnormal situations. System reactions consist in alarms and recommendations for informing physicians. E-Care has a generic open architecture; in this paper we extend the platform by adding a module for auscultation sounds in this architecture.