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

In the framework of the RADAR-CNS project multiple case studies are being executed with the RADAR-base platform. The main aim of those studies is the determination of the value of sensor data and remote monitoring in clinical practise, focussing on the CNS disorders epilepsy, major depression disorder (MDD) and multiple sclerosis (MS).

The epilepsy studies are running in University hospitals in the UK and in Germany. The goal of those pilot studies is the evaluation of wearable device data for passive remote monitoring of participants in an hospital epilepsy monitoring unit (EMU). The RADAR-base Android application, captures sensor data from consumer grade and medical grade wearables devices via a Bluetooth connection and streams the data to an internal hospital server. Integration of SDKs for multiple wearable devices allows us to investigate and compare the quality of data collected from different devices as well as device specifications such as battery life and signal stability/range. Besides data quality assessment, we also investigate whether data from wearable devices has potential for seizure detection. Parallel video and EEG monitoring in monitoring units of specialized epilepsy centers are used as Gold Standard for seizure detection evaluation. The potential of wearable devices as clinically valuable alternatives to complement or even replace hospital-based technologies will be evaluated.

The MDD study is focused on the remote data collection aspect, since the study participants are not monitored in a hospital setting, but the data is collected passively in an real life assessment. Besides the sensor data from smartphones and wearables devices, participants actively report mood at random time points in daily life, using the Experience Sampling Methodology (ESM). The main objective of this study is the proofing the concept of highly reliable remote data collection and near real time data management. This study also allows to test recruitment strategies for future projects including the RADAR-base platform.

The original IMI RADAR-CNS project focused on the CNS-disorders Epilepsy, MDD and MS. However, the RADAR-base platform is applicable to a wide range of health and disease areas, allowing use cases from a healthy lifestyle to prevent and pre-empt pathologies to relapse prediction and medical interventions.  

You can read more about the RADAR-CNS studies at RADAR-CNS.org.

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