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


February 3, 2022
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We invite you to attend a free symposium on mobile health, wearables and the RADAR-base platform on the 7th of March 2022 to join our discussion on these technologies and see how they are being used in Research and Healthcare. Join us on the 7th of March at the Wellcome Collection, London or online. Register

March 11, 2022
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Register here  https://github.com/RADAR-base/GSoC The RADAR-base team is running several Google Summer of Code projects, if you are interested in contributing to key pieces of the platform road map — we’d be very happy to hear from you. Take a look at the link above if you’d like to apply.

June 29, 2021
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The RADAR-base platform has been identified for innovation recognition in the area of mHealth and wearable devices by the European Commission’s Innovation Radar platform https://www.innoradar.eu/innovation/39736 Read more about this here: https://www.thehyve.nl/articles/radar-base-excellent-innovation-by-european-commission    

October 31, 2019
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This is a step-by-step guide to the newly developed web based application to manually upload data to RADAR-base. This documentation is focused on the end-users. If you are interested in setting this up on your RADAR-base deployment or interested in knowing more please visit the github repository. Prerequisites A modern working browser. Stable internet connection.

April 9, 2019
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Introduction What is an App server? An App Server (short for Application Server) can have many different definitions and meaning according to its context. I will primarily be talking about an App Server in context of its use in RADAR-base platform as a mediation service. In layman terms, an app server is a piece of

February 14, 2019
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Accessing the data collected using RADAR-Base RADAR-base provides two storage systems, namely Cold Storage and Hot Storage. Cold storage stores the high resolution data sent to the platform in a Hadoop Distributed File System(HDFS). The data from HDFS can be used for retrospective analysis. The data in HDFS are stored based on topics. Hence, a

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