RADAR-base: The open source platform for remote assessment using wearable devices and mobile applications
RADAR-base (Remote Assessment of Disease And Relapses) is an open source platform to leverage data from wearables and mobile technologies. The main focus of RADAR-base is seamless integration of data streams from various wearables to collect sensor data in real time and store, manage and share the collected data with researchers for retrospective analysis.
RADAR-base provides both passive and active data collection via two applications. Passive data collection using passive remote monitoring technologies (pRMT) application. It includes real time monitoring of movement, location, audio, calls and texts, and app usage. Passive collection can be done by directly sending data from phone sensors or device sensor data through the (pRMT) app or device sensor data via cloud storage to RADAR-base or combination of these options. For devices which do not have any of these methods, the data is collected by manually uploading the data extracted from the devices to RADAR-base platform.
Active data collection using the active Remote Monitoring Technologies (aRMT) app, which includes the use of questionnaires that might ask patients about their mood, medication intake, or the severity of symptoms. All of the collected data can be extracted from the platform in structured formats.
To conduct a remote monitoring study using RADAR-Base, you need to have a deployment of RADAR-base platform either in-house or in the cloud and integration of selection of devices you would like to use for your study. Once these are available, you can start enrolling participants with the help of our study management system called Management Portal.
Watch this 12 min video which demonstrates the capabilities of RADAR-base. If you are interested in knowing more about RADAR-base, please visit our Getting Started page.
Our mission is to improve people’s quality of life by leveraging clinical value from wearable sensor data and smartphones. To achieve this goal, we created the highly extensible RADAR-base platform that enables study design and set up, active and passive remote data collection, secure data transmission via Wifi and/or Bluetooth and scalable solutions for data storage, management and access. RADAR-base allows study participants to share their health data with clinicians and researchers in a secure way.
The complete RADAR-base technology stack is available under an Apache 2 open source license. As an active community of developers, researchers and clinicians, we focus on continuously improving data quality, user experience, validation and extending the platform with new features and data sources. A key objective of RADAR-base is to stimulate the mHealth field by building a highly adaptable and scalable platform which can be freely reused.
A world in which we can make the most out of smartphone and wearable technology to preempt and prevent diseases in healthy people rather than diagnose and treat patients.
Story of RADAR-base platform and community
The RADAR-base community emerged from the IMI 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. The combination of passively collected physiological data with active self assessment via questionnaires and scheduled cognitive tests allows a comprehensive picture of the participant’s health state. RADAR-CNS is attempting to evaluate the clinical value of sensor data for relapse prediction with the focus on three disorders of the central nervous system (CNS), epilepsy, multiple sclerosis and major depression disorder.
Please cite this paper as a reference when using the RADAR-base platform:
Ranjan Y, Rashid Z, Stewart C, Conde P, Begale M, Verbeeck D, Boettcher S, Dobson R, Folarin A, The Hyve, RADAR-CNS Consortium.
RADAR-base: An Open Source mHealth Platform for Collecting, Monitoring and Analyzing Data Using Sensors, Wearables, and Mobile Devices.