Medeasyna: development of an esp32-based smart medicine dispenser with iot-based notification, gps-equipped tracking system, and health monitoring using an android application for individuals with comorbidities/ Erica S. Alagon, Lambert Joseph F. Jardeleza, Nacer L. Lerit Jr., Alfred M. Reyes, and Oliver R. Vasquez.--

By:

Alagon, Erica S [author]

Contributor(s):

Material type: Text

TextPublication details: Manila: Technological University of the Philippines, 2025.Description: vii, 127pages: 29cmContent type:

Media type:

Carrier type:

Subject(s):

LOC classification:

BTH TK 870 A43 2025

Dissertation note: College of Engineering.-- Bachelor of science in electronics engineering: Technological University of the Philippines, 2025. Summary: This study focuses on MedEasyNa, a SMART medicine dispenser that is designed to enhance medication adherence targeted among individuals with chronic illnesses and comorbidities. MedEasyNa features an ESP32 microcontroller at its center, enabling IoT-based Notifications, real-time monitoring, and GPS tracking using the companion app. Through controlled tests and several weeks of user trials, MedEasyNa was able to meet its five core objectives. The Health Monitoring System presented minor deviations from traditional devices (±0.1–0.3°C for temperature, ±1–4 bpm for heart rate, ±1–3% for oxygen saturation) although with slower response times (7–20s). Its accuracy was rated at 79.8% by the users, and at 74.4% by caretakers. For the Medicine Dispensing System, it achieved 100% accuracy in testing, with users rating it 80%, and caregivers giving it 77.2%, even though there were occasional jams encountered. The Android app was rated 83.1% by users, and showed effective alerts and monitoring, despite occasional crashes. On the other hand, Firebase-to-ESP32 interface enabled reliable data sync in real time, earning high ratings from users 84.2%. Overall, the system was rated 74.2% among users and 79.8% among caregivers. Although network instability affected consistency, MedEasyNa effectively delivered its core functions, offering a promising innovation to improve healthcare management.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Shelving location	Call number	Copy number	Status	Date due	Barcode
Bachelor's Thesis COE	TUP Manila Library	Thesis Section-2nd floor	BTH TK 870 A43 2025 (Browse shelf(Opens below))	c.1.	Not for loan		BTH0006418

Browsing TUP Manila Library shelves, Shelving location: Thesis Section-2nd floor Close shelf browser (Hides shelf browser)

Previous	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	Next
Previous	BTH TK 870 A38 2025 Therapod: a multi-turn llm agent capable of conversational therapeutic intervention and speech emotion recognition/	BTH TK 870 A43 2025 Design and development of computing-in-memory (cim) architecture with a non-volatile one-time programmable read-only memory (otp-rom) using skywater 130nm pdk for edge ai applications/	BTH TK 870 A43 2025 Balai: iot power and water management system with ai for mode-control, recommendations and capping mechanism/	BTH TK 870 A43 2025 Medeasyna: development of an esp32-based smart medicine dispenser with iot-based notification, gps-equipped tracking system, and health monitoring using an android application for individuals with comorbidities/	BTH TK 870 A45 2025 Wireless blind-spot monitoring system with real-time motion detection and risk estimation using yolov11 and optical flow on nvidia jetson orin nano for toyota hilux 2.4 fx 4x2 mt (w/rear a/c)/	BTH TK 870 A53 2025 Liverscan++: raspberry pi-based web-integrated device for detection and correlation of focal liver lesions from triphasic contrast-enhanced ct scans using deep learning algorithm/	BTH TK 870 A68 2025 Seasid: deep learning based microbiome monitoring system for early detection of seaweed disease through classification of microbes using submersible microscope via web interface with alert system/	Next

Bachelor's thesis

College of Engineering.-- Bachelor of science in electronics engineering: Technological University of the Philippines, 2025.

Includes bibliographic references and index.

This study focuses on MedEasyNa, a SMART medicine dispenser that is designed to
enhance medication adherence targeted among individuals with chronic illnesses and
comorbidities. MedEasyNa features an ESP32 microcontroller at its center, enabling IoT-based
Notifications, real-time monitoring, and GPS tracking using the companion app. Through
controlled tests and several weeks of user trials, MedEasyNa was able to meet its five core
objectives. The Health Monitoring System presented minor deviations from traditional devices
(±0.1–0.3°C for temperature, ±1–4 bpm for heart rate, ±1–3% for oxygen saturation) although
with slower response times (7–20s). Its accuracy was rated at 79.8% by the users, and at 74.4%
by caretakers. For the Medicine Dispensing System, it achieved 100% accuracy in testing, with
users rating it 80%, and caregivers giving it 77.2%, even though there were occasional jams
encountered. The Android app was rated 83.1% by users, and showed effective alerts and
monitoring, despite occasional crashes. On the other hand, Firebase-to-ESP32 interface enabled
reliable data sync in real time, earning high ratings from users 84.2%. Overall, the system was
rated 74.2% among users and 79.8% among caregivers. Although network instability affected
consistency, MedEasyNa effectively delivered its core functions, offering a promising innovation
to improve healthcare management.

There are no comments on this title.

to post a comment.

Click on an image to view it in the image viewer