Summary
Stroke is the third leading cause of death in Europe. In 2015, 613.148 people died of stroke, producing suffering in the patients and an economic burden of 45 billion euros. Most suffering and thereby the economic burden could be reduced if rehabilitation would be early and intense enough, thus resulting in an autonomous mobility in patients. Current rehabilitation procedures for post-stroke symptoms do not lead to quick and long-term recovery. With SoftRevision, a rehabilitation software shall be offered that runs together with a commercially available VR equipment and is easily suitable for bedside usage. Importantly, this software shall combine diagnostic and rehabilitation such that training procedures can be individually tailored to the needs of each patient. The rehabilitation procedure will be based on knowledge obtained in the associated ERC starting grant moreSense. In order to evaluate the efficacy of the software three studies with patients will be conducted. In these studies the rehabilitation success of the software will be quantified in comparison to existing procedures. The project will be carried out in cooperation with a rehabilitation clinic and a virtual reality software company. For the development of SoftRevision a software developer will be hired. The software developer will create the product based on the ideas of the PI. In addition, the developer will generate a graphical user interface that allows a “plug-and-play” version of the software. This shall make the software accessible for patients without previous technological experience. The rehabilitation clinic hosts 1000 patients, thus providing ample opportunity to validate and optimize SoftRevision. The virtual reality company shall market the product and offer long-term technical support for users and provide updates. In conclusion, with SoftReVision the team aims to produce an innovative tool for diagnostics and rehabilitation of post-stroke symptoms.
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More information & hyperlinks
Web resources: | https://cordis.europa.eu/project/id/963903 |
Start date: | 01-03-2021 |
End date: | 28-02-2023 |
Total budget - Public funding: | - 150 000,00 Euro |
Cordis data
Original description
Stroke is the third leading cause of death in Europe. In 2015, 613.148 people died of stroke, producing suffering in the patients and an economic burden of 45 billion euros. Most suffering and thereby the economic burden could be reduced if rehabilitation would be early and intense enough, thus resulting in an autonomous mobility in patients. Current rehabilitation procedures for post-stroke symptoms do not lead to quick and long-term recovery. With SoftRevision, a rehabilitation software shall be offered that runs together with a commercially available VR equipment and is easily suitable for bedside usage. Importantly, this software shall combine diagnostic and rehabilitation such that training procedures can be individually tailored to the needs of each patient. The rehabilitation procedure will be based on knowledge obtained in the associated ERC starting grant moreSense. In order to evaluate the efficacy of the software three studies with patients will be conducted. In these studies the rehabilitation success of the software will be quantified in comparison to existing procedures. The project will be carried out in cooperation with a rehabilitation clinic and a virtual reality software company. For the development of SoftRevision a software developer will be hired. The software developer will create the product based on the ideas of the PI. In addition, the developer will generate a graphical user interface that allows a “plug-and-play” version of the software. This shall make the software accessible for patients without previous technological experience. The rehabilitation clinic hosts 1000 patients, thus providing ample opportunity to validate and optimize SoftRevision. The virtual reality company shall market the product and offer long-term technical support for users and provide updates. In conclusion, with SoftReVision the team aims to produce an innovative tool for diagnostics and rehabilitation of post-stroke symptoms.Status
CLOSEDCall topic
ERC-2020-POCUpdate Date
27-04-2024
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