Date of Publication
7-2022
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Computer Science Major in Computer Systems Engineering
Subject Categories
Computer Sciences | Systems Engineering
College
College of Computer Studies
Department/Unit
Computer Technology
Thesis Advisor
Gregory G. Cu
Defense Panel Chair
Judith J. Azcarraga
Defense Panel Member
Fritz Kevin S. Flores
Ronald M. Pascual
Debra C. Casalda
Abstract/Summary
Medicine non-adherence has become a major factor in the failure of medical treatments. Numerous solutions have been proposed to increase adherence between patients and the regimens. These include electronic aids, such as text messages, reminders and smart medicine pill boxes. Chan, Chua and Ramin have developed a smart medicine pill box which provides reminders and allows scheduling using an Android mobile application, but problems arose in terms of its timekeeping and ability to allow third-party applications from accessing the smart medicine pill box. This led the researchers of this study to improve and implement fixes based on the previous work of Chan et. al through a revised design and implementation of middleware. The key results of the experiment were improving the timekeeping, modularity and including a REST API. However, there were drawbacks that include the speed of the motor, the drop system, and the reminder module for the app. The researchers successfully augmented the previously designed Smart Medicine Pill Box and uncovered new areas which could be further improved.
Abstract Format
html
Language
English
Format
Electronic
Physical Description
[153 leaves]
Keywords
Medicine; Embedded computer systems
Recommended Citation
Abad, M. J., Gonzales, M. L., Yparraguirre, J. C., & Zalamea, M. T. (2022). An improved smart medicine pill box system. Retrieved from https://animorepository.dlsu.edu.ph/etdb_comtech/8
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Embargo Period
7-2023
