Home // eTELEMED 2012, The Fourth International Conference on eHealth, Telemedicine, and Social Medicine // View article

Personalized Motivation in Dementia Management through Detection of Behavior Patterns

Authors:
Ana Belén Sánchez Calzón
Carlos Fernández-Llatas
Juan Carlos Naranjo
Teresa Meneu

Keywords: Dementia; eHealth; Monitoring; Motivation; Cognitive enhancement

Abstract:
Dementia is one of the most common diseases in elderly people. Many people with dementia eventually become totally dependent on others for their care. With proper treatment, symptoms of dementia can be significantly reduced and stabilized. A successful treatment depends on recognizing which symptoms person experiences, making a careful evaluation, and identifying possible causes and methods to treat. Nursing Homes usually host a considerable number of people with dementia. To detect the disease in early stages may allow work on the development of mechanisms to reduce the cognitive impairment. The personalized motivation may help to adapt the patient environment, allowing adequate stimulating events, providing an opportunity for physical and psychosocial activity. The requirement is to study the behavior of patients in order to detect conduct disorders in their routines. This study presents a behavior pattern detection architecture based on the Ambient Assisted Living paradigm, and Process Mining technology allowing re-learning mechanisms in dementia disorders.

Pages: 203 to 208

Copyright: Copyright (c) IARIA, 2012

Publication date: January 30, 2012

Published in: conference

ISSN: 2308-4359

ISBN: 978-1-61208-179-3

Location: Valencia, Spain

Dates: from January 30, 2012 to February 4, 2012