Researchers at Kaunas University of Technology (KTU), Lithuania have created a mobile application, which helps recognise early symptoms of rare Huntington’s disease. Designed in cooperation with physicians and the Huntington Disease Association, the app provides its user with a series of tests in order to check the presence of the symptoms. If the probability of symptoms is detected, the user is inform and encourage to contact medical professionals for further advice.
Early signs and symptoms of the disease can include irritability, depression, small involuntary movements, poor coordination, and trouble learning new information or making decisions. All these are difficult to notice. Their app is aim at the early detection; so they are attempting to diagnose the disease when visually there are no symptoms; says Andrius Lauraitis, KTU doctoral student who is developing the model for evaluating the prevalence Huntington’s disease symptoms.
The scientific supervisor of Lauraitis’ doctoral dissertation Professor Rytis Maskeliunas of KTU Faculty of Informatics, is emphasising the supportive nature of the intelligent app. According to him, the app provides additional information and allows automation of the process; but is not trying to replace medical diagnosis. The app is one of a kind, as the technological devices in the context of this disease have not investigate yet.
Smartphone users on Google Play
The scientists emphasise that different degenerative diseases have different symptoms; so some conditions are diagnose through voice, others through hand tremors or cognitive disorders. Therefore, it is important that the Neural Impairment Test Suite is evaluating all aspects which can be detect and add to the diagnosis. The app is easily available and very user-friendly.
They didn’t want to use any sensors which people would need to carry in their pocket. All that is require for taking this test is a typical smartphone or a tablet. In the future we are planning to have an invisible tool; which would monitor and evaluate your condition base on how you are using your phone; so according to your movements, and similar parameters,”says Maskeliunas. The researchers are planning to expand the concept; also the applicability of the prediction model so as it could be used for other diseases.