Ranjan, Y;
Kerz, M;
Rashid, Z;
Boettcher, S;
Dobson, RJB;
Folarin, AA;
(2018)
RADAR-base: A Novel Open Source m-Health Platform.
In:
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers.
(pp. pp. 223-226).
ACM: New York (NY), USA.
Preview |
Text
RADAR_base__A_Novel_Open_Source_m_Health_Platform.pdf - Accepted Version Download (1MB) | Preview |
Abstract
Smartphones with embedded and connected sensors are playing vital role in healthcare through various apps and mHealth platforms. RADAR-base is a modern mHealth data collection platform built around Confluent and Apache Kafka. RADAR-base enables study design and set up, active and passive remote data collection. It provides secure data transmission, and scalable solutions for data storage, management and access. The application is used presently in RADAR-CNS study to collect data from patients suffering from Multiples Sclerosis, Depression and Epilepsy. Beyond RADAR-CNS, RADAR-base is being deployed across a number of other funded research programmes.
| Type: | Proceedings paper |
|---|---|
| Title: | RADAR-base: A Novel Open Source m-Health Platform |
| Event: | The 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers |
| Location: | Singapore, Singapore |
| Dates: | 8th-12th October 2018 |
| ISBN-13: | 978-1-4503-5966-5 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/3267305.3267579 |
| Publisher version: | https://doi.org/10.1145/3267305.3267579 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | mHealth; mobile context sensing; wearable sensors; data collection platform; mental health |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics > Clinical Epidemiology |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10087380 |
Archive Staff Only
 |
View Item |
