dc.description.abstract | In the perspective of COVID-19 infectious disease explosions lead to numerous
cardiovascular disabilities. Furthermore, the breakdown of such widespread diseases lead to a
large number of people coming to public spots for clinical measurement and causing serious
overload issues. So that, it is crucial for society for a demand of an innovative solution
resolving most of these consequences that is applying continuous monitoring of home-based
device in heart-rate tracking with basic clinic knowledge. Traditional ECG Holter has numerous
electrodes carried by patients, so ECG monitoring usually requires patients to stay in the
hospital for a long time period. This paper presented a small, portable, and minimized ECG
Holter device that is developed to measure biopotential signals with friendly-GUI application.
The Holter ECG was developed by implementing custom AFE ECG circuit to adapt its compact
design and stabilize signal processing. Hence, using decision matrix to select the appropriate
ECG sensor and microcontroller processing units and 2-layer PCB to arrange small components
throughout the circuit. The main circuit is connected to PC via the serial communication
protocol called UART, it is expected to have minimal delay in processing ECG signals when
displayed on the GUI Application. The user interface is built with Qt framework (C/C++) that
optimizes the process for embedded project,
Furthermore, the software uses JSON files from GitHub to propose its cloud-based
integration features to adapt the IoT development. An innovation of this device is the clientserver database system management that allows users to get and upload their information
remotely, the doctor or nurses can access through a cloud-based database using Google Cloud
Services. This can resolve the high-density population presented in daily clinical trials in
Vietnam hospitals.
In conclusion, the feasibility outcome of the device is tested as compared to Phantom
320 ECG simulator and market products, the device literally emits more deviation in data but is
more reliable on prices and advanced technology. | en_US |