mobOx is an innovative, mobile blood analysis device for use in emergency medical services.
The device is able to detect changes in the red blood pigment hemoglobin. The main area of application is the diagnosis of carbon monoxide (CO) poisoning in the event of fire, but also certain types of poisoning by chemicals and drugs. A particularly robust, optical measurement process is used that makes use of deep learning methods. For the first time, this enables fast, simple and reliable determination with laboratory accuracy directly on site. With currently available devices, this is only possible in the hospital, which means that valuable time is lost for initiating the optimal therapy.
A special feature of the system is that, by adapting the algorithms, further measurement parameters can be added in the future without having to make modifications to the hardware. This opens up the prospect of opening up further areas of application. One example is the parameter HbA1c (long-term blood sugar), which plays an important role in the therapy of diabetes.