OREKA - Intelligent solution for immediate fall prediction and preventive measures in an intermediate care hospital environment.

The OREKA project aims to develop an intelligent solution that identifies unstable situations that could result in falls, sending alerts to healthcare staff and caregivers to prevent falls in the intermediate care hospital setting. This innovative tool will provide a new resource for healthcare professionals, caregivers and society at large.

The focus of OREKA is falls prevention, not just falls detection. Falls can occur both in motion and at rest and include repeated attempts to get out of bed or out of a chair, or gait disturbances. Early identification of these movements can prevent falls, especially in a sector of society highly vulnerable to this risk, such as people with dementia or cognitive impairment.

OREKA is led by Telesonic, an entity specialized in the installation, configuration and integration of solutions, with solid experience in the implementation of projects in the audiovisual field and in the management of facilities that manage a large amount of heterogeneous data. It also has Matia as a partner, through the Psychogeriatrics Unit of Bermingham Hospital, aimed at the care of people with dementia who require a hospital environment to evaluate and treat severe psychological and behavioral symptoms that cannot be controlled on an outpatient basis.

These two entities are joined by the subcontracting of Tecnalia, the largest applied research and technological development center in Spain, a benchmark in Europe and member of the Basque Research and Technology Alliance; and Matia Instituto, the unit of Matia Fundazioa dedicated to the generation and transfer of knowledge that seeks to contribute to the welfare of people and their environment during aging, through applied research with a people-centered approach.

Phases and Tasks:

• PT1. Analysis of vulnerable human activity for fall prediction.
• WP2. Specification and design
• WP3. Development of the IoT platform for data collection
• WP4. Development of predictive models for fall prediction
• WP5. Tuning of predictive fall models
• WP6. System evaluation and validation
• WP7. Project management

Funding:

Subsidized by the Basque Government, Department of Industry, Energy Transition and Sustainability. HAZITEK 2024 Program, exp. no. ZL-2024/00433