A proposal of a fall detection algorithm for a Multidevice Personal Intelligent Platform
Miguel Á. Estudillo‐Valderrama, Laura M. Roa, Javier Reina‐Tosina, David Naranjo-Hernández · 2008
In this paper methodological and design issues about the development of a personal platform for the control and processing of data acquired from intelligent biomedical sensors are presented. This platform is designed in the context of a telehealthcare system for the elderly with chronic diseases, and one of its objectives is to monitor and detect fall events. The main feature of the device is its on-line personalization to the patient through adaptive knowledge generation in real-time, which will result in special time execution requirements. As a result a fall detection algorithm proposal is described and analyzed.