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MSEE Capstone Project: Optimized Wireless Patient Monitoring System, using LoRaWAN, ESP32, MatchX Gateway, MQTT, Raspberry Pi, and ubiquitous Open Source IoT Tools

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The LoRaware Project

What is it?

The LoRaware System Architecture

This capstone project represents the culmination of the Master of Science in Electrical Engineering with specialization in Wireless Communication program at National University. This project focused on the research and development of a wireless sensor network for use in the medical field pertaining to out-patient monitoring. The developed system's first deployment consisted of four wireless biometric devices transmitting communications over a Long-Range Wide Area Network (LoRaWAN). The observed biometric data was obtained by a combination of sampling, reading analog and digital voltage values, and conversions performed by each device’s processor, then transmitted to a centralized LoRaWAN Gateway, which was then parsed and forwarded to a network server via TCP/IP Stack to be stored and displayed by hosted services and applications; forming a lightweight and functional management platform. The project team developed and successfully tested the proposed LoRaware system throughout the course of a three-month duration.

Assembly of Snap-Fit Enclosure Shells

Enclosure Assembly

The sensor sets are portable and wrist-wearable and include sensors for biometric measurements, a ESP32 MCU, a Lithium Polymer battery, LoRa RF Modulation chipset and external antenna for data transmissions. All components fit in a low-profile enclosure.

Hmmmm...

Rendering of Full Assembly Fully Assembly, wit da Top Down

Use-case

Debugging LoRaware Device

Biometric Monitoring

Monitoring Biometrics

MQTT Data Flow Management topology in Node-Red Flow Control

LoRaware Automated Notification System with Pushsafer API Notify System

Development

LOL

LoRaware Prototype Schematic LW Prototype Schematic

LoRaware PCB Assembly Concept PCB Concept

LoRaware Device Power Measurements

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MSEE Capstone Project: Optimized Wireless Patient Monitoring System, using LoRaWAN, ESP32, MatchX Gateway, MQTT, Raspberry Pi, and ubiquitous Open Source IoT Tools

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