Teachers of the Kalashnikov Academy, with the assistance of a project team from the Information Technology (IT) department, have developed an MVP (Minimum Viable Product – the earliest version of a product with a minimum set of functions for presentation) VR application for early diagnosis of Alzheimer's disease and the search for rehabilitation methods. This was reported by the press service of the concern.
With the help of the application, users perform a number of everyday tasks in the virtual world. This makes it possible to test memory.
In the demo version of the program, a person examines a residential area of one of the Russian cities, solving simple tasks (going to the store, spatial orientation, etc.). The results of the project participants are analyzed by neurobiologists. The more players, the higher the chances of finding effective methods for diagnosing and rehabilitating Alzheimer's disease.
The application is able to divide the situation into two stages: where a person simply "forgot", and where he really has alarming indicators that can help in the diagnosis. In addition, in our application, a person gets into a familiar world and his brain will perceive the environment more realistically, which also gives us more accurate indicators and a result close to reality.
The idea of creating the application belongs to Sergey Kozhevnikov, Associate Professor of the Udmurt State University. In the future, work on the project will continue, because virtual reality technologies can be effectively used to identify and prevent Alzheimer's disease, he noted.
Earlier www1.ru reported that NtechLab started creating a neural network for the diagnosis of Alzheimer's disease.
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