Indoor patient monitoring through Wi-Fi and mobile computing

The developments in wireless sensor networks, mobile technology and cloud computing have been pushing forward the concept of intelligent or smart cities, and each day smarter infrastructures are being developed with the aim of enhancing the well-being of citizens. These advances in technology can provide considerable benefits for the diverse components of smart cities including smart health which can be seen as the facet of smart cities dedicated to healthcare. A considerable defy that stills requiring appropriate responses is the development of mechanisms to detect health issues in patients from the very beginning. In this work, we propose a novel solution for indoor patient monitoring for medical purposes. The output of our solution will consist of a report containing the patterns of room occupation by the patient inside her/his home during a certain period of time. This report will allow health care professionals to detect changes on the behavior of the patient that can be interpreted as early signs of any health related issue. The proposed solution was implemented in an Android smartphone and tested in a real scenario. To assess our solution, 400 measurements divided into 10 experiments were performed, reaching a total of 391 correct detections which corresponds to an average effectiveness of 97.75%.