Healthy Connection

Inspiration

Healthcare workers often monitor 4-10+ patients simultaneously, making it difficult to detect critical vital changes quickly. Current systems are either prohibitively expensive ($10K-$50K+ per bed) or lack immediate local alerts. We wanted to create an affordable, scalable solution providing both bedside awareness and centralized monitoring—ensuring no critical moment goes unnoticed.

What it does

Healthy Connection monitors patient vitals in real-time using ECG, temperature, and humidity sensors. Color-coded LEDs provide instant bedside feedback: green (safe), yellow (attention needed), red (critical), and blue (connected). Multiple patient units connect wirelessly to a central hub built on the nRF7002 DK, transmitting data to our web dashboard. Healthcare providers monitor all patients simultaneously, view real-time vitals, and receive instant alerts. Patient IDs are entered and linked to profiles through the web interface. One hub supports unlimited patient units at a fraction of enterprise costs.

How we built it

Hardware: Patient monitoring units using nRF7002 DK boards with custom circuits integrating ECG, temperature, humidity sensors, and LED arrays. Configured wireless communication to central hub.

Software: Cloud backend with secure data storage, RESTful APIs for real-time transmission, responsive web dashboard with live visualization and patient management, and alert notifications.

Integration: End-to-end data flow from sensors through patient unit, central hub, cloud, to web dashboard. Tested scalability with multiple simultaneous connections.

Challenges we ran into

Voltage Compatibility: The nRF7002 DK board is programmed to operate at 1.8V, but our sensors required 3.3V. We had to reconfigure the board's voltage output to ensure proper sensor operation without damaging components.

Wi-Fi Connection: Establishing a stable Wi-Fi connection that would run reliably and connect properly to transmit data from the central hub to the cloud required extensive debugging and configuration.

Bluetooth Communication: Setting up Bluetooth connections between patient monitoring devices and the central hub involved troubleshooting pairing protocols and maintaining reliable device-to-device communication.

ECG Signal Processing: Filtering and establishing proper readings from the ECG sensor was challenging due to noise interference and the need for accurate heart rate detection. We implemented signal filtering algorithms to clean the data.

Sensor Integration: Developing code for the temperature and humidity sensor required understanding sensor-specific protocols and ensuring accurate readings under various conditions.

Built With

• c
• ecg
• led
• nrf7002dk
• temperaturesensor