Compared with SoA technologies, we found that, by employing self-learning algorithms, we increase the speed at which feedback to and from physiotherapists is offered. Data collected is fully under patient control. The physiotherapist receives data, collected by the knee brace over a certain period, not just one session of therapy. Compared to current technologies, this offers a quicker diagnosis tool, higher reliability, & possibility of controlling therapy sessions based on patient feedback.
The economic impact is twofold:
- The price, as a flat fee, is small (350 Euros TTC), allowing higher usage. In France, there will be the possibility for patients to be reimbursed for the device.
-By increasing the usage of the knee brace, it can also be an increase in the number of patients (& revenues) per physiotherapist.
The social impact stands from the increase in rehabilitated patients &, through the preventive care feature, currently in development, a decrease in the number of relapses.