Collaborating with PFL on the development of their sleep apnoea research, detection & monitoring Apps to help the business generate new revenue streams
The company has made considerable investment in 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.
PFL chose Genetic Digital to develop both the consumer facing ‘Sound Sleep’ app to help patients manage their sleep apnoea condition as well as their clinical research app ‘Sleep Study’.
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 to 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.
We also assisted PFL with developing their medical device compliance paperwork.
