@article{ref1,
title="Design and Implementation of a Distributed Fall Detection System. Part II: Personal Server",
journal="IEEE transactions on information technology in biomedicine",
year="2009",
author="",
volume="13",
number="6",
pages="874-881",
abstract="In this paper the main results related to a falling detection system are shown by means of a Personal Server for the control and processing of the data acquired from multiple intelligent biomedical sensors. This server is designed in the context of a telehealthcare system for the elderly, to whom falls represent a highly risk cause of serious injuries, and its architecture can be extended to patients suffering from chronic diseases. The main design issues and developments in terms of the server hardware and software are presented with the aim of providing a real-time analysis of the processed biosignals. As a result, the evaluation study of the implemented algorithm for falling detection through a set of laboratory experiments is presented, together with some important issues in terms of the device's consumption. The proposed algorithm exhibits excellent outcomes in fall detection.<p /> <p>Language: en</p>",
language="en",
issn="1089-7771",
doi="10.1109/TITB.2009.2031316",
url="http://dx.doi.org/10.1109/TITB.2009.2031316"
}