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dc.contributor.advisorLe, Ngoc Bich
dc.contributor.advisorTran, Le Giang
dc.contributor.authorNguyễn, Bá Thông
dc.date.accessioned2025-02-12T06:57:18Z
dc.date.available2025-02-12T06:57:18Z
dc.date.issued2024-04-18
dc.identifier.urihttp://keep.hcmiu.edu.vn:8080/handle/123456789/6469
dc.description.abstractIn 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
dc.subjectCOVID-19en_US
dc.subjectHolter ECGen_US
dc.subjectcloud-based databaseen_US
dc.titleDesign And Development Of An Iot-Based Heart-Rate And Ekg Monitor Deviceen_US
dc.typeThesisen_US


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