Development of AI-based software for a smart wound monitoring system

Purpose and goal

In our first AI Project, we have evaluated ML, which has been a working method for selecting the right information from noisy signals. Work has been done to understand which signals are more relevant than others. With sensor data from dialysis treatments, these noisy signals have been processed with AI / ML algorithms, from this we have concluded that a product where PoC software performs evaluation can be a working and promising method.

Expected results and effects

We have concluded that a product where PoC software performs evaluation can perform evaluation is a workable and promising method. And can give Redsense the basis for a new product. In addition to this opportunity, experience can be useful in another project, which is about wound care.

Planned approach and implementation

Work on selecting the right information from noisy signals turned out to be more extensive than expected. Gradually, understanding of this increased, which after processing with AI / ML algorithms has led to the conclusion that a product where PoC software performs evaluation can be a working and promising method.