ARISES

ARISES is an Adaptive, Real-time, Intelligent System to Enhance Self-care of chronic disease. In this case, we are creating an iOS application to help patients suffering with Diabetes live with their condition.

Screenshot of the app

Getting Started

Documentation can be found here

See deployment for notes on how to deploy the project on a live system.

Prerequisites

You must have a Apple device running iOS7 or higher.

Deployment

Download the repository into Xcode10 or higher, build the project and run it on either a simulator or real-world device.

Built With

• CocoaPods - Dependency Management
• SwiftCharts - Library used to generate the Graph
• Jazzy - Creating docs

Versioning

We are currently in pre-alpha as the app is still under development. For the versions available, see the tags on this repository.

Authors

• Ryan Armiger - Initial work - RyanArmiger
• Becky Elkington - Initial work - rElkington
• Xiaoyu Ma - Initial work - MXYs
• Dan Wells - Initial work - danwells96

See also the list of contributors who participated in this project.

Acknowledgments

• Design of the User Interface was by Emeritus Professor Robert Spence of Imperial College London.
• Created in partnership with ¹Dr C Uduku, ²Dr K Li, ²J Daniels, ¹Dr M Reddy, ²Dr P Herrero, ²Prof R Spence, ²Prof C Toumazou, ¹Prof N Oliver and ²Dr P Georgiou

¹Centre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering

Institute of Biomedical Engineering, Imperial College London, UK

²Diabetes, Endocrinology & Metabolism, Imperial College London, UK