Connor Holowachuk | Project blackberry-hr-monitor

BlackBerry | Software Development Intern

Project Overview

The BBM Enterprise HR Monitor was designed to demonstrate the feasibility of a secure, portable, and wearable HR monitoring device to BlackBerry's enterprise customers. It was powered by a Raspberry Pi running the BBM-e SDK on Node.js, and interfaced to the ADC and LED controllers via I2C and custom hardware libraries. The data was securely sent to the BlackBerry BBM Enterprise Server using the BBM-e SDK, visible on the iOS mobile app.

Technologies

Explore the technologies I used to build this project

Hardware & Firmware

The software runs on a Raspberry Pi and interfaces over I2C to a signal amplifier and LED controller for real-time HR and SpO2 data.

LED SpO2 + HR MonitorBoth green and red LEDs are used to provide an accurate measurement of SpO2 and heart rate, as measured by an on-board photodetector.

Breadboard PrototypeA power supply, LED driver, ADC, and signal amplifier were designed and mounted on a breadboard for initial testing. The breadboard also interfaced directly to the Raspberry Pi for data acquisition and control.

Mobile AppThe mobile app provides a secure and intuitive interface for the user to view their heart rate and SpO2 data, as well as control the device. HR and SpO2 were calculated on the Raspberry Pi, and the data was securely sent to the BlackBerry BBM Enterprise Server.

Features

The BBM Enterprise HR Monitor was designed to demonstrate the feasibility of a secure, portable, and wearable HR monitoring device to BlackBerry's enterprise customers.

E2E Encryption

End-to-end encryption is a must for any medical device. The BBM Enterprise SDK provides industry standard encryption to ensure that the data between the device and the cloud is private.

SpO2 and HR Waveforms

The device provides real-time SpO2 and HR waveforms to help the user understand their heart rate and how it changes over time.

High-speed HR Measurement

The monitor is capable of measuring and updating HR every 3 seconds, providing a more accurate and responsive measurement of the user's heart rate.

Portable Code

Powered by Node.js and a Raspberry Pi, porting the software to other devices was simple and allowed for adaptation by industry leading manufacturers.

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