Purpose. Information assistance in making diagnostic and rehabilitation decisions by a doctor to restore movements of patients after a stroke.
Specifications. For PC structure: hardware requirements: – PC with a processor of 1.5 GHz or higher, RAM 1024 MB or higher (recommended), PC with a processor of 1.0 GHz, RAM 256 MB); – free disk space: 1.5 GB (if the .NET.Framework 4.0 software platform is not installed), 20 MB (if .NET.Framework 4.0 is installed); PC software requirements: – operating system: from Microsoft Windows XP and higher; – software platform .NET Framework version 4.0 or higher; – software for working with PDF files. For Android mobile platform structures: – RAM: 1024 MB or more; – Android OS: no lower than version 5.0 (API level 21), recommended from version 7.1 (API level 25).
Application area. Medicine, education. Clinical, sanitary resort institutions, rehabilitation centers, medical educational institutions.
Advantages. Formation of personalized movement training plans based on the results of a quantitative assessment of their deficit and the general condition of the patient and adjustment of this plan by the doctor if necessary.
Technical and economic effect. Software implementation of the technology for PC structures and mobile Android platforms provides the opportunity to use the technology not only in clinical institutions, but also at home, helps reduce doctor errors in making diagnostic and rehabilitation decisions, prevent the development of complications, reduce the risk of acquired disability, and increase the effectiveness of health services. patients after a stroke, as well as elderly people, incl. at home.
Description. Intelligent information technology for creating a personalized training plan after a stroke, which uses artificial intelligence tools – specialized software modules “MovementRehabStroke” for PC and mobile platforms – to provide information assistance to the doctor in making diagnostic and rehabilitation decisions to restore patients’ movements. The technology helps reduce doctor errors in decision-making, prevent the development of complications, and reduce the risk of acquired disability.