A Home E-Health System for Dependent People Based on OSGI

This chapter presents a e-health system for dependent people installed in a home environment. After reviewing the state of art in e-health applications and technologies several limitations have been detected because many solutions are proprietary and lack interoperability. The developed home e-health system provides an architecture capable to integrate different telecare services in a smart home gateway hardware independent from the application layer. We propose a rule system to define users’ behavior and monitor relevant events. Two example systems have been implemented to monitor patients. A data model for the e-health platform is described as well.Ministerio de Educación y Ciencia TSI2006-13390-C02-0

An Orientation Service for Dependent People Based on an Open Service Architecture

This article describes a service architecture for ambient assisted liv ing and in particular an orientation navigation service in open places for persons with memory problems such as those patients suffering from Alzheimer’s in its early stages. The service has the following characteristics: one-day system autonomy; self-adjusting interfaces for simple interaction with patients, based on behavioural patterns to predict routes and destinations and to detect lost situations; easy browsing through simple spoken commands and use of photo graphs for reorientation, and independence of GISs (Geographic Information Systems) to reduce costs and increase accessibility. Initial testing results of the destination prediction algorithm are very positive. This system is integrated in a global e-health/e-care home service architecture platform (OSGi) that enables remote management of services and devices and seamless integration with other home service domains.Ministerio de Educación y Ciencia TSI2006-13390-C02-0

Aproximación a los sensores biométricos para medir el perfil de stress

n este artículo se realiza un estudio sobre los sen sores biométricos que pueden ayudar a tomar me didas sobre el estrés que sufre una individuo con el objetivo de combinar esta información con la infomración obtenida de los entornos inteligentes y que éstos últimos sean capaces de adaptarse a las condiciones de los individuos moderando la situación de estrés. Se realiza un estudio sobre los cambios biométricos que se producen en situa ciones de estrés así como una taxonomía de los sen sores biométricos del mercado además de presentar un entorno inteligente donde desplegar estos sen sores y dos escenarios de trabajo futuro

A holistic approach to the sustainable empowerment of the ageing society

This paper presents a new European initiative to support the sustainable empowerment of the ageing society. Empowerment in this context represents the capability to have a self-determined, autonomous and healthy life. The paper justifies the need of such an initiative and highlights the role that telemedicine and ambient assisted living can play in this environment

High performance dynamic threshold calibration for RR interval detection in a QRS complex using a parallel programing

These days computer analysis of ECG (Electrocardiograms) signals is common. There are many real-time QRS recognition algorithms; one of these algorithms is Pan-Tompkins Algorithm. Which the Pan-Tompkins Algorithm can detect QRS complexes of ECG signals. The proposed algorithm is analysed the data stream of the heartbeat based on the digital analysis of the amplitude, the bandwidth, and the slope. In addition to that, the stress algorithm compares whether the current heartbeat is similar or different to the last heartbeat after detecting the ECG signals. This algorithm determines the stress detection for the patient on the real-time. In order to implement the new algorithm with higher performance, the parallel programming language CUDA is used. The algorithm determines stress at the same time by determining the RR interval. The algorithm uses a different function as beat detector and a beat classifier of stress

Past, present and future of tourist tracking

Purpose – The purpose of this paper is to find out tourism movement patterns via the tracking of tourists with the help of positioning systems like GPS in the rural area of the Lake Constance destination in Germany. In doing so past, present and future of tourist tracking is illustrated. Design/methodology/approach – The tracking is realized via common smartphones extended by an app, with dedicated sensors like position loggers and a survey. The three different approaches are applied in order to compare and cross-check results (triangulation of data and methods). Findings – Movement patterns turned out to be diverse and individualistic within the rural destination of Lake Constance and following an ants trail in sub-destinations like the city of Constance. Repeat visitors and first-time visitors alike always visit the bigger cities and main day-trip destinations of the Lake. A possible prediction tool enables new avenues of governing tourism movement patterns. Research limitations/implications – The tracking techniques can be developed further into the direction of “quantified self” using gamification in order to make the tracking app even more attractive. Practical implications – An algorithm-based prediction tool would offer new perspectives to the management of tourism movements. Social implications – Further research is needed to overcome the feeling of invasiveness of the app to allow tracking with that approach. Originality/value – This study is original and innovative because of the first-time use of a smartphone app in tourist tracking, the application on a rural destination and the conceptual description of a prediction tool