Abstract

Background. A study of the use of IoT technologies in modern medicine, primarily in Ukraine, was conducted. Based on the analogs of the existing systems considered, taking into account the entire complex situation, the number of people in need of rehabilitation is only increasing, and there are simply not enough centers for such assistance. Rehabilitation doctors spend a lot of their time, while not everyone can get the necessary help due to the lack of specialists. As a result, there is a need to create your own IoT system to automate and optimize treatment processes. Methods. Methods of analysis, synthesis and complex systems design are employed in the research. Results. The architecture of the IoT ecosystem of the rehabilitation center for recovery after injuries, traumas, assaults and operations was developed. The project architecture consists of simulators with sensors and a Wi-Fi module for data transmission to the cloud with a database and cloud computing. The end user, i. e. the doctor, can access this data through the app, process it, monitor performance and enter a training plan for each patient. It should be noted that each patient will be issued a card with an RFI tag or an IoT beacon. The card identifies the patient on each simulator. The simulator is adjusted according to the indicators. The indicators of a specific person’s condition are transferred to a database for tracking by a doctor. Сonclusions. Implementation of the proposed solutions is expected to allow one to substantially increase the quality of medical treatment provision to the population in Ukraine.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.