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 applying low level sensors in the home. And this is, indeed, BEDMOND scope: 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 decision making process for the doctor for an early diagnosis, automating the information process related, first, to the recognition and modelling of the daily activity performed by the elder 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 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 in elderly people while living at home in an Ambient Assisted Living environment. With such an early detection health professionals can later on apply an also early treatment which will help the elder to live longer in an independent way at home by delaying as long as possible Alzheimer’s disease appearance.
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 early apply clinical test and pharmacological treatment 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 is patent. Some behavioural changes occurred while being at home – objectively detected, recognized and interpreted through health professional’s criteria – are periodically reported to the doctor. Then, this decision-making support system can help to start an early drug treatment.
Partners involved in the BEDMOND project
|TECNALIA Research and Innovation Foundation (formerly ROBOTIKER Foundation)
|End user / R&D
|IBERNEX Ingeniería, S.L.
|AIT Austrian Institute of Technology GmbH
|Center for Usability Research & Engineering GmBH (CURE)
|METICUBE, Software Engineering
- Project name: BEHAVIOUR PATTERN BASED ASSISTANT FOR THE EARLY DETECTION AND MANAGEMENT OF NEURODEGENERATIVE DISEASES
- Website: http://www.bedmond.eu
- Coordinator: TECNALIA RESEARCH AND INNOVATION (Spain)
- Duration: 36 Months
- Starting Date: 01.07.2009
- Total budget: € 2.379.179,20
- Public contribution: € 1.378.564,51
T.: +34 943 105 101