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Remote Assessment of Disease And Relapses

An open source platform to leverage data from wearables and mobile technologies.

Remote Monitoring Apps

aRMT & pRMT Apps

Easily collect PROs and Sensor data with RADAR-base mobile applications

Management Apps

Management Portal & Dashboard Apps

Easily Manage Studies & Participants, Configure the apps and View, Download and Analyze the Collected Data

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Use Cases

20

Disease Areas

111 k

Study Participants

Remote Assessment of Disease And Relapses

What is RADAR-base?

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 the scalable integration of various data sources to collect sensor data in real-time, store, manage and share this data with researchers for analysis.

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.

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Active Remote Monitoring Technology

aRMT App

The Active RMT App is an effective method to collect Patient Reported Outcomes (PRO) via questionnaires, active tasks and challenges.

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Passive Remote Monitoring Technology

pRMT App

The Passive RMT App is the hub for collecting background sensor data and provides data streams from both phone sensors and wearable devices.

Latest Case Studies

Comparing Oura and Garmin heart rate (HR) data for n=1

Case Study, Spotlight

Comparing Oura and Garmin heart rate (HR) data for n=1

Yatharth Ranjan

1,596 views

40 likes

LETHE: Digital Cognitive Biomarkers

Case Study

LETHE: Digital Cognitive Biomarkers

user

10,468 views

304 likes

NSHD: National Survey of Health and Development

Case Study

NSHD: National Survey of Health and Development

user

5,193 views

286 likes

View All Case Studies

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This infrastructure is part of a project that has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 115902. This Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA. See www.imi.europa.eu for more details.

Neither IMI nor the European Union and EFPIA are liable for any use that may be made of the information contained on this website.

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