radar-base@kcl.ac.uk, radar-base@thehyve.nl KCL +44 (0)20 7848 0924; The Hyve +31 (0)61 169 6842

Welcome to the RADAR-base community!

The RADAR-base community emerged from the IMI funded project RADAR-CNS, where a consortium of clinicians, developers, researchers, patient organizations and EFPIA partners joined forces to transform care by leveraging sensor data from wearable devices like fitness trackers and smartphones.


Strengths of RADAR-base

  • Independent of Disease and devices. Deploy in the cloud or on-premise.
  • Ability to integrate with various devices and other systems. RADAR-base already integrates a growing list of devices.
  • Passive monitoring and Active monitoring using mobile applications.
  • Harmonized and structured data extraction of all collected data.

While you are getting started!

The RADAR-base architecture consists of multiple components and methods to ingest and access data. It is important to understand the concepts and components behind the RADAR-base architecture. Especially, if you are interested in setting an instance of RADAR-base on your server or willing to contribute to the platform development. Some recommended documents to read before getting started:

RADAR-base platform apart from the data ingesting apps are distributed as docker containers and integrated and orchestrated using Docker-compose. A basic working  knowledge of docker containers and docker-compose are required to understand the deployment process for the platform.

Recommended server specifications.

The RADAR-base platform can be easily integrated in existing IT infrastructure or run autonomously in the cloud or on physical (on-premise) servers.

To set up an (virtual) environment for a RADAR-base instance, the following requirements are recommended:

  • 4-core CPU
  • 16 GB memory
  • An SSD for the operating system and docker (at least 50 GB)
  • 1 x 1 TB spinning disks for redundancy

This setup is sufficient for continuous collection of high-frequency data from up to 1000 study participants for a study duration of 12 months using the sensors of the passive app, with dashboard graphs disabled. See here for a overview of integrated data streams from smartphone sensors or wearable devices.

Now Let’s Get Started!

Please read the How to install RADAR-base using RADAR-Docker, which provides you with the step-by-step instructions to get started easily.

Cite RADAR-base: RADAR-base: An Open Source mHealth Platform for Collecting, Monitoring and Analyzing Data Using Sensors, Wearables, and Mobile Devices.
Ranjan Y, Rashid Z, Stewart C, Begale M, Verbeeck D, Boettcher S, Dobson R, Folarin A, The Hyve, RADAR-CNS Consortium. URL: https://mhealth.jmir.org/2019/8/e11734/ DOI: 10.2196/11734 PMID: 31373275