The main goal of the I-DONT-FALL project is to deploy, pilot and evaluate a wide innovative range of highly personalized ICT-based solutions for fall detection and prevention management, which are able to be flexibly configured to the needs of specific target groups and risk factors associated with fall incidents. To this end,I-DONT-FALL integrated a diverse set of fall management solutions on the top of both products and R&D prototypes into a unified programmable fall management platform. Based on this platform the project is testing the falls solution across different countries, cultures, age groups and fall risk factors with over 500 elderly users/patients. A variety of configurations of the I-DON’T-FALL integrated system was deployed in order to achieve the customization and enable the relevant pilots. At the same time the effectiveness of I-DON’T-FALL solutions and treatment is evaluated based on a randomized controlled study. In the scope of this study a disciplined social statistical analysis methodology is devised to allow the proper selection of the sample, as well as the study, creation and evaluation of the relevant deployment configurations (per risk factors and target group). Based on the I-DON’T-FALL integrated platform:
(1) End-users benefit of tailored and more effective ICT based fall management solutions,
(2) Medical experts and health professionals are offered with a wide range of configuration, deployment, management and decision support tools, enabling them to tailor ICT solutions to the end-users’ profiles and target needs.
From a policy perspective, the project elicits best practices for tailoring fall management solutions to specific risk factors, root causes and users’ needs. Overall, the innovative feature is to tailor ICT fall management solutions to specific end-user groups, root causes and risk factors is expected to increase the effectiveness of detection and prevention of falls, in improving elderly people independent living, while at the same time unveiling new horizons for marketing, exploiting and sustaining fall-related ICT solutions.
Description of target users and groups
The project is mainly focused on patients in rehabilitation, most part of them at home, but accurately followed by rehabitation specialists (nurses and doctors). This target group is highly at risk of falls and the project's aim is to reduce risks with an accurate and personalized rehabilitation program. Personalization of the care is addressed to increase the patient authonomy in predifined and controlled conditions. Progresses in the rehabilitation could progressively reduce falls risks and social costs for assistance by enhancing the patient independence.
Description of the way to implement the initiative
A randomized trial test is done. Results of the users that benefit of I-DONT-FALL system will be compared with users followed with the traditional cares.
The system is composed by:
- an intelligent walker (IWALKER) used to measure some physical parameters of the patient during the motion training with falls detection
- an accelerometer based sensor (WIMU) weared on the hips to evaluate the movement path and behaviour in addition to falls detection and alarms
- a software platform to collect data and to present patients information to the specialists
- mental training serious gaming software that include touch interaction for memory and mental rehabilitation activities
- an integrated call center 24 hours service for falls alarms
- rehabilitation and care specialists able to measure and evaluate all progresses on patient condition or the need of additional rehabilitation interventions
Main results, benefits and impacts
I-DONT-FALL aims to reduce long term costs with an accurate and personalized rehabilitation path.
Benefit for the patient could be a reduced risk of falls with reduced economical and social costs for such kind of EU citizens.
The trials are ongoing at the time of this publication; as soon as the results of trials are available this section will be updated.Scope: International