Master's Thesis titled "Human Condition Monitoring System with Remote Data Collection and Analysis" is dedicated to the development of a modern hardware-software complex for medical monitoring. The goal of the work is to create a system capable of measuring human physiological parameters such as pulse, oxygen saturation, temperature, blood pressure, glucose level, and electrocardiogram (ECG), with subsequent data transmission to a remote server for analysis.
The thesis includes a review of modern methods for monitoring physiological parameters, as well as data transmission and storage systems. The selection of hardware components, such as sensors, a microcontroller board, and wireless communication modules, is substantiated. To ensure measurement accuracy and reliability, algorithms for signal processing, including noise filtering and data normalization, have been developed.
The system integrates with databases for storing measurement results and further analysis, utilizing MQTT and HTTP protocols for data transmission to a server and mobile devices for doctors. The work addresses issues of data security during transmission and storage, as well as ensuring compatibility with modern medical information systems.
Objective: To develop a hardware-software complex for monitoring human physiological parameters with remote data collection, transmission, storage, and analysis capabilities, ensuring measurement accuracy, data transmission reliability, and integration with modern medical information systems.
Object of study: The process of monitoring human physiological parameters using electronic devices and data transmission technologies.
Subject of study: Methods and tools for measuring physiological parameters, algorithms for data processing and transmission, and the architecture of a hardware-software complex for human condition monitoring.
Research advisor: I.Lysenko
