Sleep Apnoea Detection and Monitoring App

Sleep Apnoea Detection and Monitoring App for Passion for Life Healthcare


Passion for Life Healthcare, the leading supplier of sleep products, have made considerable investment developing a state of the art machine learning algorithm to detect sleep apnoea. The algorithm, developed by a leading university, had been designed to run on a server but a proof of concept app had been produced to demonstrate it operating in a mobile environment. A solution was needed that took the server based algorithm, converted it for use on iOS and Android and wrapped it in a user friendly, highly functional, consumer facing app.


Passion for Life Healthcare approached Genetic Digital to develop the consumer app and associated backend. We started by rewriting the algorithm using a single cross-platform language with an accompanying test suite to guarantee integrity. We then designed an easy to use interface and built the associated functionality that allows users sign up to the app, record their night’s sleep, add associated information (caffeine, blocked nose, etc), ‘tag’ questionable sounds and, amongst other things, generate comprehensive reports. We also developed a secure, privacy focused backend to store user data and allow dedicated administrators to interrogate and export it.


The client’s long-term plan had always been to bring the app development in-house. Genetic Digital’s role was to take the app from concept to reality, produce the associated technical documentation for ISO13485 audit approval and, following completion, consult as required while Passion for Life Healthcare picked up the reins. The project was a great success with several unique and advanced technical challenges being overcome and the project successfully handed over.

The App





Machine Learning