There is considerable interest in the ability to diagnose dementia of the Alzheimer type in the earliest possible stage of the disease. It is known that people with Mild Cognitive Impairment (MCI) have a higher risk of developing Alzheimer. Its first indicators are subtly manifested in patients’ daily behaviour patterns. Thus, an interest emerged for developing a technological system that can record and code behavioural changes occurring in the daily life of elderly persons by applying low level sensors in the home. And this is, indeed, the scope of the BEDMOND project : an ICT-based system for the early detection of Alzheimer’s disease (AD) and other neurodegenerative diseases on the basis of data assessment with health professional criteria. It addresses a system that supports the doctor’s decision making process for an early diagnosis, automating the information process related, first, to the recognition and modelling of the daily activity performed by the elderly person while being at home and, then, to the interpretation of deviations and behavioural changes detected. Technology in use is based on standards and open source, and interoperability, modularity and scalability criteria. User involvement is tackled under a user-centric iterative process for design and development, ending with field trials for real testing in a real environment.
The BEDMOND project aims at developing an ICT-based system for an early detection of Alzheimer’s disease and other neurodegenerative diseases, based on a behavioural change to approach and focused on elderly people, while living at home in an Ambient Assisted Living environment. With such an early detection, health professionals can later on apply an equally early treatment which will help the elderly person to live longer in an independent way at home, by delaying as much as possible the onset of Alzheimer’s disease.
Expected results and impact:
While scientists deepen into genetic associations for neurodegenerative diseases, health professionals are searching for tools for an early diagnostic so that they can apply clinical test and pharmacological treatment early, to slow down the disease progression. Combining tele-assistance and smart home technologies (Ambient Assisted Living), BEDMOND platform provides the doctor with objective information about behavioural changes and MCI detection prior to the disease being patent. Some behavioural changes occur while being at home – are objectively detected, recognised and interpreted through health professionals’ criteria – and are periodically reported to the doctor. Then, this decision-making support system can help to start an early drug treatment.
|TECNALIA Research and Innovation Foundation (formerly ROBOTIKER Foundation)||R&D||Spain||www.tecnalia.com|
|INGEMA Foundation||end user, R&D||Spain||www.ingema.es|
|IBERNEX Ingeniería, S.L.||business, SME||Spain||www.ibernex.es|
|AIT Austrian Institute of Technology GmbH||R&D||Austria||www.ait.at|
|Center for Usability Research & Engineering GmBH (CURE)||R&D||Austria||www.cure.at|
|METICUBE, Software Engineering||business, SME||Portugal||www.meticube.com|
Coordinator: TECNALIA RESEARCH AND INNOVATION (Spain)
Duration: 36 Months
Starting Date: 01 July 2009
Total budget: € 2.379.179.20
Public contribution: € 1.378.564.51
+34 943 105 101
Parque Tecnológico de Bizkaia