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

Case Studies

RADAR-CNS: Epilepsy Seizure Detection
AIMS-2-TRIALS: Autism Remote Assessment Study
DynaMORE: Dynamic Modelling of Resilience
UNFOLD: Psychosis Recovery Study
RADAR-CNS: Multiple Sclerosis
NIHR CONVALESCENCE Long-COVID STUDY
BigDAta@Heart – RATE-AF: Atrial Fibrillation
ART: Attention-Deficit/Hyperactivity
RALPMH: Remote assessment of lung disease
COVID-RED
RADAR-AD: Alzheimer’s Disease
RADAR-CNS: Major Depressive Disorder
COVID Collab: Wearables to Monitor COVID
Health on the Move (HOME) Study
SUBER Subcutaneous EEG Study

Open source license

All components are available as open source software under an Apache 2 license. Have a look at our RADAR-base GitHub repositories, Wiki and Slack to get started!

Live monitoring

RADAR-base enables near real time remote monitoring of participant’s actively and passively generated data. The data is collected via Android and iOS apps into a RADAR-base backend.

Scalable & Extensible

Built around Apache Kafka for scale. Modular architecture and plugins-based – simple to build connectors to integrate data from additional wearable devices and APIs.

Open data standards

Schematized data storage in AVRO format to enable interoperability. Store of large volumes of raw sensor data as well as structured aggregated data.

I am a ...


Participant

I want to know how my data is treated or how I can participate


Clinician

I want to deploy the RADAR stack to get more insight in my patients.


Researcher

I want to discover new insights from the data generated by RADAR studies


Developer

I want to contribute open-source code to the RADAR platform

Core Team

Heet Sankesara

Software Developer & Data Scientist

Francesco Nobilia

Software Engineer

Pauline Conde

Software Developer

Yatharth Ranjan

Software Engineer

Maximilian Kerz

Software Developer

Maxim Moinat

Software Developer

Nivethika Mahasivam

Software Engineer

Sebastian Boettcher

Software Developer / Data Scientist

Julia Kurps

Project Manager

Amos Folarin

Project Lead

Joris Borgdorff

Software Architect

Denny Verbeeck

Software Engineer

Supported by

Copyright © 2019 RADAR-base. All rights reserved.
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