Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/78973
Title: Smart sensor-based pillbox for polypharmacy management
Authors: Kum, Brandon Zhi Wei
Keywords: Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Engineering::Computer science and engineering
Issue Date: 2019
Publisher: Nanyang Technological University
Abstract: The inability to conform to regular medication regime has always been the main issue when it comes to increased hospitality and mortality rate in the world, especially to patients with long term illness such hypertension, dementia, cardiovascular disease and mental disorders. Having to miss a dosage can be detrimental to a patient’s health, increasing hospitalization and mortality rate. Research has shown that patients forgetting or deciding not to consume a dose is the most important cause of poor adherence amidst many other contributing factors. Current solutions available out there are focused solely on combating two of the many factors that contributes to poor medication adherence/nonadherence however medication adherence is a complex problem with multi contributing factors. The motivation behind this project is aimed to tackle as many of the contributing factors of poor adherence/nonadherence of medication, without causing discrepancy to the patient’s lifestyle. The project implements a deployable add-on system that integrates with the patient’s current medication storage using Internet-of-Things and Cloud Computing to ensure the system is scalable, robust and reliable.
URI: http://hdl.handle.net/10356/78973
Schools: School of Computer Science and Engineering 
Research Centres: Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY) 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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SCSE18-0824_Smart Sensor-based Pillbox for Polypharmacy Management_KUM ZHI WEI BRANDON U1621234F_FINAL REPORT_V1.0.pdf
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Final Year Project Report1.76 MBAdobe PDFView/Open

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