AFFECT - AI for Long Term Monitoring of Hemiplegic Patients

Important results from the project

The project has achieved its objective and provided important results in technology and method development to improve arm use measurements in rehabilitation. The system has been tested on stroke patients and healthy volunteers. In addition to the goals, the project has resulted in collaborations that have contributed to the standardization of methods and increased data material for further development of algorithms and hardware. These results can eventually improve individualized rehabilitation.

Expected long term effects

The project is expected to have long-term effects by improving and individualizing rehabilitation for stroke patients using a portable system that tracks arm use over time. Through increased precision in the measurements, learned non-use can be detected more quickly and recovery can be optimized. The project has led to international collaborations that support method standardization and further development, which in turn can raise the quality and efficiency in rehabilitation.

Approach and implementation

The project has been carried out with regular Teams meetings between the partners. Hardware development has taken place in parallel, with joint meetings to discuss progress. Software development and algorithm work have also followed this structure. Cooperation has been further strengthened through visits to India and meetings at conferences. Pilot recordings to test equipment and algorithms have been carried out in Sweden, while larger recordings are currently underway in India.