Project Hub /Healthcare Biomedical & Assistive/Bio-signal Acquisition (ECG/EMG/EEG)/Health Monitoring System using Arduino UNO R4 WiFi and IoT Cloud

Intermediate

ARDUINO

₹1,500 – ₹5,000

3 – 6 Hours

Partial Kit

Health Monitoring System using Arduino UNO R4 WiFi and IoT Cloud

An IoT-based health monitoring system built using Arduino UNO R4 WiFi to track heart rate, SpO2, body temperature, and ECG data in real time via the Ubidots cloud platform.

Originally published on CircuitDigest

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.

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: Temperature Sensor (generic)
Arduino Uno R4 / Minima
Pulse / Heart Rate Sensor
AA / AAA Battery + Holder

Browse all components

How It Works

The Health Monitoring System functions by simultaneously acquiring multiple physiological parameters from a human subject using specialized sensor modules connected to an Arduino UNO R4 WiFi board. Electrical signals corresponding to cardiac activity are captured via the AD8232 ECG sensor module using electrode leads placed on the body, outputting an analog waveform that the microcontroller samples. Blood oxygen saturation and peripheral heart rate are measured optically using the MAX30102 pulse oximeter sensor, communicating data over the I2C interface via the Wire and MAX30100_PulseOximeter libraries. Concurrently, body temperature is measured non-contactively using the MLX90614 infrared temperature sensor, which also interfaces over the I2C bus using the Adafruit_MLX90614 library. The Arduino UNO R4 WiFi aggregates this incoming sensor data and utilizes its onboard ESP32-S3 coprocessor and the WiFiS3 library to connect to a local wireless network. Through the PubSubClient library, the microcontroller publishes the real-time physiological metrics using MQTT protocols directly to the Ubidots IoT Cloud Platform. This allows remote users, caregivers, or medical personnel to visualize waveforms and telemetry data dashboards from anywhere with internet access, powered independently by a 7.4V 2S Li-ion battery pack or an external 6V-24V DC power supply connected through appropriate jumper wires.

Why Build This

Design and deploy an end-to-end biomedical Internet of Things (IoT) pipeline suitable for undergraduate engineering capstone or biomedical instrumentation portfolios.

Integrate multiple communication protocols (I2C, analog signal acquisition, and Wi-Fi MQTT networking) into a single centralized monitoring hub.

Implement practical remote patient monitoring and telemedicine solutions to support preventive healthcare initiatives in low-resource environments.

Real-World Application

Enables remote patient monitoring, preventive healthcare, and timely emergency data collection in areas with limited healthcare infrastructure, reducing unnecessary hospital visits.

Skills You'll Learn

Analog signal conditioning

I2C bus communication

wireless MQTT data publishing

sensor integration

cloud dashboard configuration

power management for embedded systems

Safety Precautions

Ensure proper isolation and wiring when using bio-potential sensors like the AD8232 connected to human subjects. Use appropriate battery power supplies (6V-24V DC) to avoid any electrical hazards.

Technology Tags

ARDUINO

IOT

MQTT

UBIDOTS

AD8232 ECG

MLX90614 TEMPERATURE SENSOR

MAX30102 PULSE OXIMETER

WI-FI

HEALTH MONITORING

Frequently Asked Questions

Can I power the entire system directly from a computer USB port while connected to a human subject?

While USB power is convenient for debugging code in the Arduino IDE, using a dedicated battery pack (such as a 7.4V 2S Li-ion battery or isolated DC supply) is recommended during live bio-potential sensing to maintain electrical safety standards and prevent ground loop issues.

How does the Arduino UNO R4 WiFi send data to the Ubidots cloud platform?

The board uses its integrated Wi-Fi capabilities along with the WiFiS3 and PubSubClient libraries to establish an MQTT connection, publishing sensor payloads directly to Ubidots over your local wireless network.

Why are multiple libraries like Wire, Adafruit_MLX90614, and PubSubClient required?

Each library serves a specific subsystem: the Wire library handles low-level I2C communication, the sensor-specific libraries parse the raw bytes from the MAX30102 and MLX90614 into readable health metrics, and PubSubClient handles network message formatting for the cloud.

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.

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