Launching of the research project “Handicap Innovation Territoire” i.e. Region Innovation Disability
BA Healthcare is part of the “Handicap Innovation Territoire” project to develop a diagnostic aid solution for patients who need to have walking rehabilitation after a stroke.
The “Handicap Innovation Territoire” (HIT) project led by Lorient agglomeration in partnership with the CMRRF of Kerpape (a rehabilitation center) and ID2Santé competitiveness cluster is one of the 24 projects which have won the call for “Territoires d’innovation” projects (i.e. Innovative Regions), funded as part of the Investissements d’avenir Program (i.e. Investments for the future). The project aims at transforming disability into a driver for social and technological innovation at the service of citizens, and promoting the economic attractiveness of the region as well.
Already bringing together about 40 partners (local authorities, institutions, academics, companies, start-ups, associations, etc.), the HIT project will be carried out over a period of 8 years, through numerous actions conducted in the region, the creation of the “CoWork’HIT”, an expertise and resource center on disability, and by supporting the development of about twenty companies and start-ups dedicated to innovation in the field of disability.
Developing innovative solutions to help people with disabilities
BA Healthcare will participate in the project during the first 2 years to develop a software solution that will enable to make accurate diagnoses of post-stroke patients’ condition as part of their walking rehabilitation program.
BA Healthcare will provide its expertise acquired in the fields of functional rehabilitation and personal autonomy, in particular, with Robo-K, the walking rehabilitation robot the company has developed for patients who suffer from walking disability with a neurological origin.
Within HIT project, BA Healthcare will develop an autonomous system capable of acquiring a certain amount of data (here via the use of multi-cameras capturing patients’ walking movements) to establish the patient’s state criteria and thus evaluate the effectiveness of the treatment. The final objective is to be able to offer rehabilitation centers a software solution for recording and verifying their rehabilitation care. This project uses innovative technologies such as artificial intelligence and machine learning.