A remote monitoring system for patients medical parameters
Students Name: Zubov Daniil Ihorovych
Qualification Level: magister
Speciality: System Programming
Institute: Institute of Computer Technologies, Automation and Metrology
Mode of Study: full
Academic Year: 2020-2021 н.р.
Language of Defence: ukrainian
Abstract: Zubov D.I., Vavruk E.Y. (supervisor). A remote monitoring system for patients medical parameters. Master’s thesis. - Lviv Polytechnic National University, Lviv, 2020. Extended abstract. Services and mobile applications that support wireless networks have become one of the most attractive areas of research and are becoming increasingly common, especially for use in health care [1]. Many studies have been conducted in the use of smartphones in medical monitoring systems. They have shown that the development of this area will reduce the cost of health care through the possibility of continuous remote monitoring of the patient’s health, even during their daily lives, thus reducing the frequency of hospital visits [2]. Medical research shows that the first symptoms of cardiac disease appear long before their manifestation and monitoring of medical indicators can provide earlier detection and treatment [3]. In this context, home monitoring services are potentially powerful tools for diagnostics and improvement of medical services. These solutions allow remote monitoring of public health, which is a particularly pressing issue during the global pandemic COVID 19. The technical capabilities of phones and their proximity to the person allow you to get information about the patient’s condition in real time. With built-in sensors such as a global positioning system sensor, accelerator, access to calendar, contacts and other personal information, mobile applications can monitor where the user is and what he is doing. This information allows you to provide real-time patient support, ensuring care when it is needed. Such care can be aimed at reducing the prevalence of unhealthy lifestyles, remote diagnosis and treatment support. Mobile applications in connection with connectable external devices can greatly facilitate the registration of medical data. Similar work with paper versions, when the patient is asked to record indicators and physiological data on paper, usually lasts no more than a few weeks. One of the methods of replacing paperwork involves the use of sensors and plug-in measuring devices for automatic registration of the patient’s condition [4]. To automatically record levels of physical activity, mobile monitoring applications connect wirelessly to devices that record various physiological parameters. Devices that support external connections include digital scales, glucometers, tonometers, and portable electrocardiographs. Connecting such devices to a mobile phone allows you to store important biometric indicators in a convenient form, forward them to any place (doctor, medical institution, pharmacy) to work with them. The current state of development of information technologies opens new opportunities in this direction, allows to implement a personalized approach, efficiency, to organize the monitoring of health indicators in the mode of remote access using medical gadgets and mobile applications. Today, developers offer a variety of medical systems for measuring individual indicators: heart rate, blood pressure, stress levels [5]. They allow remote access to monitor the patient’s health and in a timely manner to record the deterioration of the patient’s condition and connect him to the doctor for consultation. In this master’s qualification work the system of remote monitoring of medical parameters of patients is developed. This system allows you to collect, process and store patient health data. This system has a client-server architecture with server-side data processing. The client part is implemented as an application for the Android platform, using Xamarin for the .NET platform and as a desktop application for Windows. The ASP.NET Core web platform is used to implement the server part. Microsoft SQL Server is used as a database. Load testing of the system and economic justification of the design solution were also performed. References. D. Schmitter-Edgecombe, M. Dawadi. Analyzing activity behavior and movement in a naturalistic environment using smart home techniques. IEEE journal of biomedical and health informatics //"IEEE Trans Inf Technol Biomed". -2009. №5. - С. 50-76. Salvador CH, Carrasco MP, de Mingo MAG, Lozano IF, and Monteagudo JL. Airmed-cardio a GSM and Internet services-based system for out-of-hospitel follow-up of cardiac patients //"IEEE Trans Inf Technol Biomed". -2009. №9. - С. 90-96. 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