DEVELOPMENT OF BACKEND SOFTWARE SYSTEM FOR HEART DISEASE SENSOR READER USING ELECTROCHEMICAL VOLTAMMETRY TECHNIQUE
The potential for heart disease can be detected through the use of sensor readers that apply electrochemical voltammetry techniques. This technique allows for the rapid identification of critical biomarkers, specifically cardiac troponin, resulting in raw data from voltammetry tests. This study f...
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| Main Author: | |
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| Format: | Final Project |
| Language: | Indonesia |
| Online Access: | https://digilib.itb.ac.id/gdl/view/82418 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | The potential for heart disease can be detected through the use of sensor readers
that apply electrochemical voltammetry techniques. This technique allows for the
rapid identification of critical biomarkers, specifically cardiac troponin, resulting in
raw data from voltammetry tests. This study focuses on developing a backend
module capable of processing raw data from voltammetry measurements into
information that is easy to interpret for assessing heart disease potential. This
process involves converting complex data into a format that can be used by users
through a web interface. The implementation of this backend system uses FastAPI
technology and a PostgreSQL database to manage data and communicate with the
client side. System testing and evaluation are conducted in several ways, including
testing the functionality and performance scenarios of the backend application. The
test results of the backend system architecture demonstrate reliability and
effectiveness in processing and presenting data according to defined needs. |
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