An ambient assisted living system for telemedicine with detection of symptoms. (English)
Mira, José (ed.) et al., Bioinspired applications in artificial and natural computation. Third international work-conference on the interplay between natural and artificial computation, IWINAC 2009, Santiago de Compostela, Spain, June 22‒26, 2009. Proceedings, Part II. Berlin: Springer (ISBN 978-3-642-02266-1/pbk). Lecture Notes in Computer Science 5602, 75-84 (2009).
Summary: Elderly people have a high risk of health problems. Hence, we propose an architecture for Ambient Assisted Living (AAL) that supports pre-hospital health emergencies, remote monitoring of patients with chronic conditions and medical collaboration through sharing of health-related information resources (using the European electronic health records CEN/ISO EN13606). Furthermore, it is going to use medical data from vital signs for, on the one hand, the detection of symptoms using a simple rule system (e.g. fever), and on the other hand, the prediction of illness using chronobiology algorithms (e.g. prediction of myocardial infarction eight days before). So this architecture provides a great variety of communication interfaces to get vital signs of patients from a heterogeneous set of sources, as well as it supports the more important technologies for Home Automation. Therefore, we can combine security, comfort and ambient intelligence with a telemedicine solution, thereby, improving the quality of life in elderly people.