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Remote Health Monitoring With BLE Capabilities For COVID-19 Doctors

Intermediate

AI / ML

Project Specific

3 – 6 Hours

Partial Kit

Remote Health Monitoring With BLE Capabilities For COVID-19 Doctors

A remote health monitoring device built with BLE and cloud capabilities to allow doctors to assess patient health in real-time.

Originally published on ElectronicsForU

View original tutorial

Parts You'll Need

This project is sourced from another site, not written by us — this list is our best match of their components against what we stock, not a verified bill of materials. Always check the original blog (linked above) for the actual parts list before buying.

0.96 Inch I2C/IIC 4pin OLED Display Module White Rs. 349.00
Jumper Wire 10 Pin Male To Male 20cm Rs. 45.00
400 Points Mini Solderless Prototype PCB Breadboard High Quality Rs. 89.00
MB102 Adjustable Breadboard Power Supply Module (3.3V & 5V) for Arduino & Raspberry Pi Rs. 139.00
Jumper Wire 10 Pin Male To Female 20cm Rs. 45.00

Selected: Rs. 0.00

We don't carry yet: Battery (generic / unspecified)
Other Dev Board (Indusboard / Maixduino / misc)
Pulse / Heart Rate Sensor

Browse all components

How It Works

This remote health monitoring system operates by combining physiological sensing with cloud-connected microcontroller hardware. At the core of the circuit is the Particle Argon board, which manages data acquisition and wireless communication. The MAX30100 sensor interfaces with the Argon to optically measure vital health parameters, specifically blood oxygen levels (SpO2) and heart rate, utilizing infrared and red light emitting diodes alongside a photodetector. Powering the system is a 3V-5V battery, making the device portable and self-contained. Optionally, an OLED display can be integrated into the wiring to provide local visual feedback of the readings directly at the patient's location. Once the MAX30100 captures the physiological signals, the Particle Argon processes the data and uses its built-in Bluetooth Low Energy (BLE) capabilities and Wi-Fi connectivity to transmit the health metrics to the cloud. Doctors and caregivers can then access this live information remotely through the Particle mobile app or web-based development environments like the Particle Web IDE and VS Workbench, enabling continuous patient oversight without requiring physical proximity.

Why Build This

Gain practical experience building cloud-connected Internet of Things (IoT) medical devices suitable for remote patient care.

Learn how to interface biometric sensors like the MAX30100 with modern microcontroller boards such as the Particle Argon.

Develop functional applications for mobile dashboards and cloud platforms that can assist during healthcare shortages or pandemics.

Real-World Application

Enables remote patient monitoring during pandemics or healthcare shortages, allowing doctors to keep track of vital health parameters without physical contact.

Skills You'll Learn

I2C communication

sensor data acquisition

cloud IoT integration

Bluetooth Low Energy (BLE) configuration

battery power management

Safety Precautions

No specific precautions noted for this build — always follow general electronics safety practices.

Technology Tags

BLE

PARTICLE ARGON

MAX30100

IOT

WIRELESS

HEALTH MONITORING

OLED

Frequently Asked Questions

Can I use this project without an internet connection?

While the cloud features require Wi-Fi, the optional OLED display allows you to view local sensor readings directly on the device.

What software do I need to write the code?

You can use either the browser-based Particle Web IDE or VS Workbench on your computer to program the Particle Argon board.

How is the health data sent to doctors?

The Particle Argon board transmits the sensor data to the cloud via its built-in connectivity, which can then be viewed using the Particle mobile app.

Gallery

This page is part of Kitkraft's Project Hub — a curated collection of electronics & robotics projects gathered from the maker community to help students and hobbyists discover and learn to build. Kitkraft does not claim authorship of the original project, and makes no representation as to the accuracy, completeness or safety of third-party source material. The summary and "How It Works" explanation above are AI-generated, rewritten with reference to the original tutorial — not a reproduction of it. Full credit and a direct link to the original source are provided above. If you're the original creator and have a concern about how your work is represented here, please contact us and we'll address it promptly.

Kitkraft Project Hub — curated from the maker community, credited at the source.

PRJ-00189